diff --git a/.circleci/config.yml b/.circleci/config.yml
index 6e46d3fe33..0bfbbcb440 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -676,18 +676,16 @@ jobs:
     working_directory: ~/project
     steps:
       - checkout
-      - run:
-          name: Install PostgreSQL
-          command: |
-            sudo apt-get update
-            sudo apt-get install postgresql postgresql-contrib
-            echo 'export PATH=/usr/lib/postgresql/*/bin:$PATH' >> $BASH_ENV
       - setup_google_dns
       - run:
           name: Show git commit hash
           command: |
             echo "Git commit hash: $CIRCLE_SHA1"
-
+      - run:
+          name: Install PostgreSQL
+          command: |
+            sudo apt-get update
+            sudo apt-get install -y postgresql-14 postgresql-contrib-14
       - restore_cache:
           keys:
             - v1-dependencies-{{ checksum ".circleci/requirements.txt" }}
@@ -2375,6 +2373,25 @@ jobs:
             pip install "pytest-mock==3.12.0"
             pip install "pytest-asyncio==0.21.1"
             pip install "assemblyai==0.37.0"
+      - run:
+          name: Install dockerize
+          command: |
+            wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
+            rm dockerize-linux-amd64-v0.6.1.tar.gz
+      - run:
+          name: Start PostgreSQL Database
+          command: |
+            docker run -d \
+              --name postgres-db \
+              -e POSTGRES_USER=postgres \
+              -e POSTGRES_PASSWORD=postgres \
+              -e POSTGRES_DB=circle_test \
+              -p 5432:5432 \
+              postgres:14
+      - run:
+          name: Wait for PostgreSQL to be ready
+          command: dockerize -wait tcp://localhost:5432 -timeout 1m
       - run:
           name: Build Docker image
           command: docker build -t my-app:latest -f ./docker/Dockerfile.database .
@@ -2385,10 +2402,11 @@ jobs:
           command: |
             docker run -d \
               -p 4000:4000 \
-              -e DATABASE_URL=$CLEAN_STORE_MODEL_IN_DB_DATABASE_URL \
+              -e DATABASE_URL=postgresql://postgres:postgres@host.docker.internal:5432/circle_test \
               -e STORE_MODEL_IN_DB="True" \
               -e LITELLM_MASTER_KEY="sk-1234" \
               -e LITELLM_LICENSE=$LITELLM_LICENSE \
+              --add-host host.docker.internal:host-gateway \
               --name my-app \
               -v $(pwd)/litellm/proxy/example_config_yaml/store_model_db_config.yaml:/app/config.yaml \
               my-app:latest \
@@ -2418,7 +2436,16 @@ jobs:
             python -m pytest -vv tests/store_model_in_db_tests -x --junitxml=test-results/junit.xml --durations=5
           no_output_timeout:
             120m
-            # Clean up first container
+      - run:
+          name: Stop and remove containers
+          command: |
+            docker stop my-app || true
+            docker rm my-app || true
+            docker stop postgres-db || true
+            docker rm postgres-db || true
+          when: always
+      - store_test_results:
+          path: test-results
       
   proxy_build_from_pip_tests:
     # Change from docker to machine executor
diff --git a/ci_cd/security_scans.sh b/ci_cd/security_scans.sh
index 4255885bcb..fbb2ef5c0d 100755
--- a/ci_cd/security_scans.sh
+++ b/ci_cd/security_scans.sh
@@ -68,8 +68,11 @@ run_grype_scans() {
     
     # Allowlist of CVEs to be ignored in failure threshold/reporting
     # - CVE-2025-8869: Not applicable on Python >=3.13 (PEP 706 implemented); pip fallback unused; no OS-level fix
+    # - GHSA-4xh5-x5gv-qwph: GitHub Security Advisory alias for CVE-2025-8869
     ALLOWED_CVES=(
         "CVE-2025-8869"
+        "GHSA-4xh5-x5gv-qwph"
+        "CVE-2025-8291" # no fix available as of Oct 11, 2025
     )
 
     # Build JSON array of allowlisted CVE IDs for jq
@@ -77,6 +80,26 @@ run_grype_scans() {
 
     echo "Checking for vulnerabilities with CVSS score >= 4.0..."
     echo "Allowlisted CVEs (ignored in threshold): ${ALLOWED_CVES[*]}"
+    echo ""
+    
+    # Show all high-severity vulnerabilities for transparency
+    TOTAL_HIGH_SEVERITY=$(grype litellm:latest -o json | jq -r '
+        .matches[]
+        | select(.vulnerability.cvss[]?.metrics.baseScore >= 4.0)
+        | .vulnerability.id' | wc -l)
+    
+    if [ "$TOTAL_HIGH_SEVERITY" -gt 0 ]; then
+        echo "Total vulnerabilities found with CVSS >= 4.0: $TOTAL_HIGH_SEVERITY"
+        echo ""
+        echo "All high-severity vulnerabilities (including allowlisted):"
+        grype litellm:latest -o json | jq --argjson allow "$ALLOWED_IDS_JSON" -r '
+        ["Package", "Version", "Vulnerability ID", "CVSS Score", "Allowlisted"],
+        (.matches[]
+          | select(.vulnerability.cvss[]?.metrics.baseScore >= 4.0)
+          | [.artifact.name, .artifact.version, .vulnerability.id, .vulnerability.cvss[0].metrics.baseScore, (if (.vulnerability.id as $id | $allow | index($id)) then "YES" else "NO" end)])
+        | @tsv' | column -t -s $'\t'
+        echo ""
+    fi
 
     HIGH_SEVERITY_COUNT=$(grype litellm:latest -o json | jq --argjson allow "$ALLOWED_IDS_JSON" -r '
         .matches[]
@@ -85,8 +108,17 @@ run_grype_scans() {
         | .vulnerability.id' | wc -l)
     
     if [ "$HIGH_SEVERITY_COUNT" -gt 0 ]; then
-        echo "ERROR: Found $HIGH_SEVERITY_COUNT vulnerabilities with CVSS score >= 4.0 in litellm:latest"
+        echo ""
+        echo "=========================================="
+        echo "ERROR: Security Scan Failed"
+        echo "=========================================="
+        echo "Found $HIGH_SEVERITY_COUNT non-allowlisted vulnerabilities with CVSS score >= 4.0 in litellm:latest"
+        echo ""
+        echo "These vulnerabilities are NOT in the allowlist and must be addressed."
+        echo "Current allowlisted CVEs: ${ALLOWED_CVES[*]}"
+        echo ""
         echo "Detailed vulnerability report:"
+        echo ""
         grype litellm:latest -o json | jq --argjson allow "$ALLOWED_IDS_JSON" -r '
         ["Package", "Version", "Vulnerability ID", "CVSS Score", "Severity", "Fix Version", "Description"],
         (.matches[]
@@ -94,6 +126,19 @@ run_grype_scans() {
           | select((.vulnerability.id as $id | $allow | index($id) | not))
           | [.artifact.name, .artifact.version, .vulnerability.id, .vulnerability.cvss[0].metrics.baseScore, .vulnerability.severity, (.vulnerability.fix.versions[0] // "No fix available"), .vulnerability.description])
         | @tsv' | column -t -s $'\t'
+        echo ""
+        echo "=========================================="
+        echo "Action Required:"
+        echo "=========================================="
+        echo "1. If a fix is available, update the package to the fixed version"
+        echo "2. If the vulnerability is not applicable or has no fix:"
+        echo "   - Add the CVE/GHSA ID to ALLOWED_CVES array in ci_cd/security_scans.sh"
+        echo "   - Add a comment explaining why it's safe to ignore"
+        echo ""
+        echo "Note: Some vulnerabilities may have multiple IDs (CVE-XXXX and GHSA-XXXX)."
+        echo "Add all relevant IDs to the allowlist if they refer to the same issue."
+        echo "=========================================="
+        echo ""
         exit 1
     else
         echo "No high-severity vulnerabilities (CVSS >= 4.0) found in litellm:latest"
diff --git a/docker-compose.yml b/docker-compose.yml
index 366fbe51b5..c268f9ba0f 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -8,7 +8,7 @@ services:
     #########################################
     ## Uncomment these lines to start proxy with a config.yaml file ##
     # volumes:
-    #  - ./config.yaml:/app/config.yaml <<- this is missing in the docker-compose file currently
+    #  - ./config.yaml:/app/config.yaml
     # command:
     #  - "--config=/app/config.yaml"
     ##############################################
diff --git a/docs/my-website/docs/providers/oci.md b/docs/my-website/docs/providers/oci.md
index c11d64f455..1f52fba04f 100644
--- a/docs/my-website/docs/providers/oci.md
+++ b/docs/my-website/docs/providers/oci.md
@@ -6,18 +6,27 @@ LiteLLM supports the following models for OCI on-demand GenAI API.
 
 Check the [OCI Models List](https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm) to see if the model is available for your region.
 
+## Supported Models
+
+### Meta Llama Models
 - `meta.llama-4-maverick-17b-128e-instruct-fp8`
 - `meta.llama-4-scout-17b-16e-instruct`
 - `meta.llama-3.3-70b-instruct`
 - `meta.llama-3.2-90b-vision-instruct`
 - `meta.llama-3.1-405b-instruct`
 
+### xAI Grok Models
 - `xai.grok-4`
 - `xai.grok-3`
 - `xai.grok-3-fast`
 - `xai.grok-3-mini`
 - `xai.grok-3-mini-fast`
 
+### Cohere Models
+- `cohere.command-latest`
+- `cohere.command-a-03-2025`
+- `cohere.command-plus-latest`
+
 ## Authentication
 
 LiteLLM uses OCI signing key authentication. Follow the [official Oracle tutorial](https://docs.oracle.com/en-us/iaas/Content/API/Concepts/apisigningkey.htm) to create a signing key and obtain the following parameters:
@@ -83,3 +92,24 @@ response = completion(
 for chunk in response:
     print(chunk["choices"][0]["delta"]["content"])  # same as openai format
 ```
+
+## Usage Examples by Model Type
+
+### Using Cohere Models
+
+```python
+from litellm import completion
+
+messages = [{"role": "user", "content": "Explain quantum computing"}]
+response = completion(
+    model="oci/cohere.command-latest",
+    messages=messages,
+    oci_region="us-chicago-1",
+    oci_user=<your_oci_user>,
+    oci_fingerprint=<your_oci_fingerprint>,
+    oci_tenancy=<your_oci_tenancy>,
+    oci_key=<string_with_content_of_oci_key>,
+    oci_compartment_id=<oci_compartment_id>,
+)
+print(response)
+```
\ No newline at end of file
diff --git a/docs/my-website/docs/providers/openai.md b/docs/my-website/docs/providers/openai.md
index dbd0b9927a..3fad78dc80 100644
--- a/docs/my-website/docs/providers/openai.md
+++ b/docs/my-website/docs/providers/openai.md
@@ -339,6 +339,72 @@ curl -X POST 'http://0.0.0.0:4000/chat/completions' \
 | fine tuned `gpt-3.5-turbo-1106` | `response = completion(model="ft:gpt-3.5-turbo-1106", messages=messages)` |
 | fine tuned `gpt-3.5-turbo-0613` | `response = completion(model="ft:gpt-3.5-turbo-0613", messages=messages)` |
 
+## Getting Reasoning Content in `/chat/completions`
+
+GPT-5 models return reasoning content when called via the Responses API. You can call these models via the `/chat/completions` endpoint by using the `openai/responses/` prefix.
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+```python
+response = litellm.completion(
+    model="openai/responses/gpt-5-mini", # tells litellm to call the model via the Responses API
+    messages=[{"role": "user", "content": "What is the capital of France?"}],
+    reasoning_effort="low",
+)
+```
+</TabItem>
+
+<TabItem value="proxy" label="PROXY">
+```bash
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-d '{ 
+    "model": "openai/responses/gpt-5-mini",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "reasoning_effort": "low"
+}'
+```
+</TabItem>
+</Tabs>
+
+Expected Response:
+```json
+{
+  "id": "chatcmpl-6382a222-43c9-40c4-856b-22e105d88075",
+  "created": 1760146746,
+  "model": "gpt-5-mini",
+  "object": "chat.completion",
+  "system_fingerprint": null,
+  "choices": [
+    {
+      "finish_reason": "stop",
+      "index": 0,
+      "message": {
+        "content": "Paris",
+        "role": "assistant",
+        "tool_calls": null,
+        "function_call": null,
+        "reasoning_content": "**Identifying the capital**\n\nThe user wants me to think of the capital of France and write it down. That's pretty straightforward: it's Paris. There aren't any safety issues to consider here. I think it would be best to keep it concise, so maybe just \"Paris\" would suffice. I feel confident that I should just stick to that without adding anything else. So, let's write it down!",
+        "provider_specific_fields": null
+      }
+    }
+  ],
+  "usage": {
+    "completion_tokens": 7,
+    "prompt_tokens": 18,
+    "total_tokens": 25,
+    "completion_tokens_details": null,
+    "prompt_tokens_details": {
+      "audio_tokens": null,
+      "cached_tokens": 0,
+      "text_tokens": null,
+      "image_tokens": null
+    }
+  }
+}
+
+```
 
 ## OpenAI Chat Completion to Responses API Bridge
 
diff --git a/docs/my-website/docs/providers/vertex_batch.md b/docs/my-website/docs/providers/vertex_batch.md
index 4eaa0d69d4..046c60f2eb 100644
--- a/docs/my-website/docs/providers/vertex_batch.md
+++ b/docs/my-website/docs/providers/vertex_batch.md
@@ -1,7 +1,7 @@
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-## **Batch APIs**
+# Vertex Batch APIs
 
 Just add the following Vertex env vars to your environment. 
 
diff --git a/docs/my-website/docs/providers/vertex_self_deployed.md b/docs/my-website/docs/providers/vertex_self_deployed.md
index 98eff5d368..b7a71cdbd0 100644
--- a/docs/my-website/docs/providers/vertex_self_deployed.md
+++ b/docs/my-website/docs/providers/vertex_self_deployed.md
@@ -124,10 +124,7 @@ Deploy Gemma models on custom Vertex AI prediction endpoints with OpenAI-compati
 | Vertex Documentation | [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions) |
 | Required Parameter | `api_base` - Full prediction endpoint URL |
 
-### Usage
-
-<Tabs>
-<TabItem value="proxy" label="Proxy">
+**Proxy Usage:**
 
 **1. Add to config.yaml**
 
@@ -160,9 +157,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
   }'
 ```
 
-</TabItem>
-
-<TabItem value="sdk" label="SDK">
+**SDK Usage:**
 
 ```python
 from litellm import completion
@@ -176,5 +171,59 @@ response = completion(
 )
 ```
 
-</TabItem>
-</Tabs>
+## MedGemma Models (Custom Endpoints)
+
+Deploy MedGemma models on custom Vertex AI prediction endpoints with OpenAI-compatible format. MedGemma models use the same `vertex_ai/gemma/` route.
+
+| Property | Details |
+|----------|---------|
+| Provider Route | `vertex_ai/gemma/{MODEL_NAME}` |
+| Vertex Documentation | [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions) |
+| Required Parameter | `api_base` - Full prediction endpoint URL |
+
+**Proxy Usage:**
+
+**1. Add to config.yaml**
+
+```yaml
+model_list:
+  - model_name: medgemma-model
+    litellm_params:
+      model: vertex_ai/gemma/medgemma-2b-v1
+      api_base: https://ENDPOINT.us-central1-PROJECT.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict
+      vertex_project: "my-project-id"
+      vertex_location: "us-central1"
+```
+
+**2. Start proxy**
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+**3. Test it**
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sk-1234" \
+  -d '{
+    "model": "medgemma-model",
+    "messages": [{"role": "user", "content": "What are the symptoms of hypertension?"}],
+    "max_tokens": 100
+  }'
+```
+
+**SDK Usage:**
+
+```python
+from litellm import completion
+
+response = completion(
+    model="vertex_ai/gemma/medgemma-2b-v1",
+    messages=[{"role": "user", "content": "What are the symptoms of hypertension?"}],
+    api_base="https://ENDPOINT.us-central1-PROJECT.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict",
+    vertex_project="my-project-id",
+    vertex_location="us-central1",
+)
+```
diff --git a/docs/my-website/docs/proxy/config_settings.md b/docs/my-website/docs/proxy/config_settings.md
index 5135f708e0..4e44085726 100644
--- a/docs/my-website/docs/proxy/config_settings.md
+++ b/docs/my-website/docs/proxy/config_settings.md
@@ -780,6 +780,8 @@ router_settings:
 | USE_AWS_KMS | Flag to enable AWS Key Management Service for encryption
 | USE_PRISMA_MIGRATE | Flag to use prisma migrate instead of prisma db push. Recommended for production environments.
 | WEBHOOK_URL | URL for receiving webhooks from external services
-| SPEND_LOG_RUN_LOOPS | Constant for setting how many runs of 1000 batch deletes should spend_log_cleanup task run |
-| SPEND_LOG_CLEANUP_BATCH_SIZE | Number of logs deleted per batch during cleanup. Default is 1000 |
-| COROUTINE_CHECKER_MAX_SIZE_IN_MEMORY | Maximum size for CoroutineChecker in-memory cache. Default is 1000 |
\ No newline at end of file
+| SPEND_LOG_RUN_LOOPS | Constant for setting how many runs of 1000 batch deletes should spend_log_cleanup task run
+| SPEND_LOG_CLEANUP_BATCH_SIZE | Number of logs deleted per batch during cleanup. Default is 1000
+| COROUTINE_CHECKER_MAX_SIZE_IN_MEMORY | Maximum size for CoroutineChecker in-memory cache. Default is 1000
+| DEFAULT_SHARED_HEALTH_CHECK_TTL | Time-to-live in seconds for cached health check results in shared health check mode. Default is 300 (5 minutes)
+| DEFAULT_SHARED_HEALTH_CHECK_LOCK_TTL | Time-to-live in seconds for health check lock in shared health check mode. Default is 60 (1 minute)
\ No newline at end of file
diff --git a/docs/my-website/docs/proxy/tag_budgets.md b/docs/my-website/docs/proxy/tag_budgets.md
new file mode 100644
index 0000000000..01b82ff8d2
--- /dev/null
+++ b/docs/my-website/docs/proxy/tag_budgets.md
@@ -0,0 +1,277 @@
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# Setting Tag Budgets
+
+Track spend and set budgets for your API requests using tags. Tags allow you to categorize and monitor costs across different cost centers, projects, and departments.
+
+## Pre-Requisites
+
+- You must set up a Postgres database (e.g. Supabase, Neon, etc.)
+
+## What are Tags?
+
+Tags are labels you can attach to your LLM requests to track and limit spending by category. 
+
+**Common Use Cases:**
+- **Cost Center Tracking**: Allocate LLM costs to specific departments or business units (e.g., "engineering", "marketing", "customer-support")
+- **Project-based Budgeting**: Set budgets for different projects or initiatives (e.g., "project-alpha", "chatbot-v2")
+- **Customer Attribution**: Track spend per customer or client (e.g., "customer-acme", "customer-techcorp")
+- **Feature Monitoring**: Monitor costs for specific features (e.g., "feature-chat", "feature-summarization")
+
+Tags are added to each request in the `metadata` field to track and enforce budget limits.
+
+## Setting Tag Budgets
+
+### 1. Create a tag with budget
+
+Create a tag to represent a cost center, project, or any budget category. Set `max_budget` ($ value allowed) and `budget_duration` (how frequently the budget resets).
+
+**Example:** Create a tag for your Engineering department with a monthly $500 budget
+
+#### API
+
+Create a new tag and set `max_budget` and `budget_duration`
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/tag/new' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+            "name": "engineering", 
+            "description": "Engineering department cost center",
+            "max_budget": 500.0, 
+            "budget_duration": "30d"
+        }' 
+```
+
+**Request Body Parameters:**
+
+| Parameter | Type | Required | Description |
+|-----------|------|----------|-------------|
+| `name` | string | Yes | Unique name for the tag (e.g., cost center name) |
+| `description` | string | No | Description of what this tag tracks |
+| `models` | list[string] | No | Restrict tag to specific models |
+| `max_budget` | float | No | Maximum budget in USD |
+| `budget_duration` | string | No | How often budget resets (e.g., "30d", "1d") |
+| `soft_budget` | float | No | Soft budget limit for warnings |
+
+**Response:**
+
+```json
+{
+  "name": "engineering",
+  "description": "Engineering department cost center",
+  "max_budget": 500.0,
+  "budget_duration": "30d",
+  "budget_reset_at": "2025-11-10T00:00:00Z",
+  "created_at": "2025-10-11T00:00:00Z"
+}  
+```
+
+#### LiteLLM Admin UI
+
+Navigate to the **Tag Management** page and click **Create New Tag**. Fill in the tag details and set your budget:
+
+<Image 
+  img={require('../../img/tag_budget1.png')}
+  style={{width: '80%', display: 'block', margin: '0'}}
+/>
+
+<br />
+
+
+**Possible values for `budget_duration`:**
+
+| `budget_duration` | When Budget will reset |
+| --- | --- |
+| `budget_duration="1s"` | every 1 second |
+| `budget_duration="1m"` | every 1 minute |
+| `budget_duration="1h"` | every 1 hour |
+| `budget_duration="1d"` | every 1 day |
+| `budget_duration="7d"` | every 1 week |
+| `budget_duration="30d"` | every 1 month |
+
+### 2. Use the tag in your requests
+
+Add tags to your API requests in the `metadata` field:
+
+:::info Tags Budgets on API Keys
+
+Currently, tag budget enforcement is only supported per request. If you'd like to set tags on API keys so all requests automatically inherit the tags budgets, please [create a feature request on GitHub](https://github.com/BerriAI/litellm/issues/new?assignees=&labels=enhancement&projects=&template=feature_request.yml&title=%5BFeat%5D%3A).
+
+:::
+
+<Tabs>
+
+<TabItem value="openai" label="OpenAI SDK">
+
+```python
+import openai
+
+client = openai.OpenAI(
+    api_key="sk-1234",  # Your LiteLLM proxy key
+    base_url="http://0.0.0.0:4000"
+)
+
+response = client.chat.completions.create(
+    model="gpt-4",
+    messages=[{"role": "user", "content": "Hello"}],
+    extra_body={
+        "metadata": {
+            "tags": ["engineering"]
+        }
+    }
+)
+```
+
+</TabItem>
+
+<TabItem value="curl" label="cURL">
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+           "model": "gpt-4",
+           "messages": [{"role": "user", "content": "Hello"}],
+           "metadata": {
+               "tags": ["engineering"]
+           }
+         }'
+```
+
+</TabItem>
+
+</Tabs>
+
+### 3. Test It
+
+Make requests until the budget is exceeded:
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+           "model": "gpt-4",
+           "messages": [{"role": "user", "content": "Hello"}],
+           "metadata": {
+               "tags": ["engineering"]
+           }
+         }'
+```
+
+**When budget is exceeded, you'll see:**
+
+```json
+{
+  "error": {
+    "message": "Budget has been exceeded! Tag=engineering Current cost: 505.50, Max budget: 500.0",
+    "type": "budget_exceeded",
+    "param": null,
+    "code": "400"
+  }
+}
+```
+
+## Managing Tags
+
+### View Tag Information
+
+Get information about specific tags:
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/tag/info' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+           "names": ["engineering", "marketing"]
+         }'
+```
+
+**Response:**
+
+```json
+{
+  "engineering": {
+    "name": "engineering",
+    "description": "Engineering department cost center",
+    "spend": 245.50,
+    "max_budget": 500.0,
+    "budget_duration": "30d",
+    "budget_reset_at": "2025-11-10T00:00:00Z",
+    "created_at": "2025-10-11T00:00:00Z",
+    "updated_at": "2025-10-11T12:30:00Z"
+  },
+  "marketing": {
+    "name": "marketing",
+    "description": "Marketing department cost center",
+    "spend": 89.20,
+    "max_budget": 300.0,
+    "budget_duration": "30d",
+    "budget_reset_at": "2025-11-10T00:00:00Z",
+    "created_at": "2025-10-11T00:00:00Z",
+    "updated_at": "2025-10-11T12:30:00Z"
+  }
+}
+```
+
+### Update Tag Budget
+
+Update an existing tag's budget:
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/tag/update' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+           "name": "engineering",
+           "max_budget": 750.0,
+           "budget_duration": "30d"
+         }'
+```
+
+### Delete Tag
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/tag/delete' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+           "name": "engineering"
+         }'
+```
+
+## Multiple Tags per Request
+
+You can apply multiple tags to a single request to track costs across different dimensions simultaneously. For example, track both the cost center and the specific project:
+
+```python
+response = client.chat.completions.create(
+    model="gpt-4",
+    messages=[{"role": "user", "content": "Hello"}],
+    extra_body={
+        "metadata": {
+            "tags": ["engineering", "project-alpha", "customer-acme"]
+        }
+    }
+)
+```
+
+```shell
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+     -H 'Authorization: Bearer sk-1234' \
+     -H 'Content-Type: application/json' \
+     -d '{
+           "model": "gpt-4",
+           "messages": [{"role": "user", "content": "Hello"}],
+           "metadata": {
+               "tags": ["engineering", "project-alpha", "customer-acme"]
+           }
+         }'
+```
+
+**Budget Enforcement:** If any tag exceeds its budget, the request will be rejected.
diff --git a/docs/my-website/docs/tutorials/claude_responses_api.md b/docs/my-website/docs/tutorials/claude_responses_api.md
index 5000161a52..d86b5e2d46 100644
--- a/docs/my-website/docs/tutorials/claude_responses_api.md
+++ b/docs/my-website/docs/tutorials/claude_responses_api.md
@@ -105,7 +105,7 @@ LITELLM_MASTER_KEY gives claude access to all proxy models, whereas a virtual ke
 Alternatively, use the Anthropic pass-through endpoint:
 
 ```bash
-export ANTHROPIC_BASE_URL="http://0.0.0.0:4000/anthropic"
+export ANTHROPIC_BASE_URL="http://0.0.0.0:4000"
 export ANTHROPIC_AUTH_TOKEN="$LITELLM_MASTER_KEY"
 ```
 
diff --git a/docs/my-website/img/tag_budget1.png b/docs/my-website/img/tag_budget1.png
new file mode 100644
index 0000000000..061e406f49
Binary files /dev/null and b/docs/my-website/img/tag_budget1.png differ
diff --git a/docs/my-website/img/tag_budget2.png b/docs/my-website/img/tag_budget2.png
new file mode 100644
index 0000000000..f44fd79dd3
Binary files /dev/null and b/docs/my-website/img/tag_budget2.png differ
diff --git a/docs/my-website/release_notes/v1.77.7-stable/index.md b/docs/my-website/release_notes/v1.77.7-stable/index.md
index b5e53846b7..7e375f2ef9 100644
--- a/docs/my-website/release_notes/v1.77.7-stable/index.md
+++ b/docs/my-website/release_notes/v1.77.7-stable/index.md
@@ -1,5 +1,5 @@
 ---
-title: "[Preview] v1.77.7-stable - Claude Sonnet 4.5"
+title: "v1.77.7-stable - 2.9x Lower Median Latency"
 slug: "v1-77-7"
 date: 2025-10-04T10:00:00
 authors:
@@ -15,7 +15,7 @@ authors:
     title: Backend Performance Engineer
     url: https://www.linkedin.com/in/alexsander-baptista/
     image_url: https://media.licdn.com/dms/image/v2/D5603AQGXnziu4kqNCQ/profile-displayphoto-crop_800_800/B56ZkxEcuOKEAI-/0/1757464874550?e=1762387200&v=beta&t=9SNXLsWhx8OnYPAMQ9fqAr02oevDYEAL2vMYg2f9ieg
-  - name: Achintya Srivastava
+  - name: Achintya Rajan
     title: Fullstack Engineer
     url: https://www.linkedin.com/in/achintya-rajan/
     image_url: https://media.licdn.com/dms/image/v2/D5603AQGdkEeyJTdljw/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1716271140869?e=1762387200&v=beta&t=9gOoLPeqR2E5z3KSX61EUj3HVZXmgo87vhVuSHeffjc
diff --git a/docs/my-website/release_notes/v1.78.0-stable/index.md b/docs/my-website/release_notes/v1.78.0-stable/index.md
new file mode 100644
index 0000000000..2fd422d221
--- /dev/null
+++ b/docs/my-website/release_notes/v1.78.0-stable/index.md
@@ -0,0 +1,322 @@
+---
+title: "[Preview] v1.78.0-stable - MCP Gateway: Control Tool Access by Team/Key"
+slug: "v1-78-0"
+date: 2025-10-11T10:00:00
+authors:
+  - name: Krrish Dholakia
+    title: CEO, LiteLLM
+    url: https://www.linkedin.com/in/krish-d/
+    image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg
+  - name: Ishaan Jaff
+    title: CTO, LiteLLM
+    url: https://www.linkedin.com/in/reffajnaahsi/
+    image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
+  - name: Alexsander Hamir
+    title: Backend Performance Engineer
+    url: https://www.linkedin.com/in/alexsander-baptista/
+    image_url: https://media.licdn.com/dms/image/v2/D5603AQGXnziu4kqNCQ/profile-displayphoto-crop_800_800/B56ZkxEcuOKEAI-/0/1757464874550?e=1762387200&v=beta&t=9SNXLsWhx8OnYPAMQ9fqAr02oevDYEAL2vMYg2f9ieg
+  - name: Achintya Rajan
+    title: Fullstack Engineer
+    url: https://www.linkedin.com/in/achintya-rajan/
+    image_url: https://media.licdn.com/dms/image/v2/D5603AQGdkEeyJTdljw/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1716271140869?e=1762387200&v=beta&t=9gOoLPeqR2E5z3KSX61EUj3HVZXmgo87vhVuSHeffjc
+  - name: Sameer Kankute
+    title: Backend Engineer (LLM Translation)
+    url: https://www.linkedin.com/in/sameer-kankute/
+    image_url: https://media.licdn.com/dms/image/v2/D4D03AQHB_loQYd5gjg/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1719137160975?e=1762387200&v=beta&t=0jbuX-f4eSnDxBY3olI6meuYr-LMbObhFmFbRcKF5mY
+
+hide_table_of_contents: false
+---
+
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+## Deploy this version
+
+<Tabs>
+<TabItem value="docker" label="Docker">
+
+``` showLineNumbers title="docker run litellm"
+```
+
+</TabItem>
+
+<TabItem value="pip" label="Pip">
+
+``` showLineNumbers title="pip install litellm"
+pip install litellm==1.78.0
+```
+
+</TabItem>
+</Tabs>
+
+---
+
+## Key Highlights
+
+- **MCP Gateway Enhancements** - Fine-grained tool control at team/key level, OpenAPI to MCP server conversion, and per-tool parameter allowlists
+- **GPT-5 Pro & GPT-Image-1-Mini** - Day 0 support for OpenAI's GPT-5 Pro (400K context) and gpt-image-1-mini image generation
+- **UI Performance Boost** - Replaces bloated key list calls with lean key aliases endpoint, Turbopack for faster development, and major UI refactors
+- **EnkryptAI Guardrails** - New guardrail integration for content moderation
+- **Tag-Based Budgets** - Support for setting budgets based on request tags
+- **Azure AD & SSO** - Enhanced Azure AD default credentials selection and EntraID app roles support
+
+---
+
+## New Models / Updated Models
+
+#### New Model Support
+
+| Provider | Model | Context Window | Input ($/1M tokens) | Output ($/1M tokens) | Features |
+| -------- | ----- | -------------- | ------------------- | -------------------- | -------- |
+| OpenAI | `gpt-5-pro` | 400K | $15.00 | $120.00 | Responses API, reasoning, vision, function calling, prompt caching, web search |
+| OpenAI | `gpt-5-pro-2025-10-06` | 400K | $15.00 | $120.00 | Responses API, reasoning, vision, function calling, prompt caching, web search |
+| OpenAI | `gpt-image-1-mini` | - | $2.00/img | - | Image generation and editing |
+| OpenAI | `gpt-realtime-mini` | 128K | $0.60 | $2.40 | Realtime audio, function calling |
+| Azure AI | `azure_ai/Phi-4-mini-reasoning` | 131K | $0.08 | $0.32 | Function calling |
+| Azure AI | `azure_ai/Phi-4-reasoning` | 32K | $0.125 | $0.50 | Function calling, reasoning |
+| Azure AI | `azure_ai/MAI-DS-R1` | 128K | $1.35 | $5.40 | Reasoning, function calling |
+| Bedrock | `au.anthropic.claude-sonnet-4-5-20250929-v1:0` | 200K | $3.30 | $16.50 | Chat, reasoning, vision, function calling, prompt caching |
+| Bedrock | `global.anthropic.claude-sonnet-4-5-20250929-v1:0` | 200K | $3.00 | $15.00 | Chat, reasoning, vision, function calling, prompt caching |
+| Bedrock | `global.anthropic.claude-sonnet-4-20250514-v1:0` | 1M | $3.00 | $15.00 | Chat, reasoning, vision, function calling, prompt caching |
+| Bedrock | `cohere.embed-v4:0` | 128K | $0.12 | - | Embeddings, image input support |
+| OCI | `oci/cohere.command-latest` | 128K | $1.56 | $1.56 | Function calling |
+| OCI | `oci/cohere.command-a-03-2025` | 256K | $1.56 | $1.56 | Function calling |
+| OCI | `oci/cohere.command-plus-latest` | 128K | $1.56 | $1.56 | Function calling |
+| Together AI | `together_ai/moonshotai/Kimi-K2-Instruct-0905` | 262K | $1.00 | $3.00 | Function calling |
+| Together AI | `together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct` | 262K | $0.15 | $1.50 | Function calling |
+| Together AI | `together_ai/Qwen/Qwen3-Next-80B-A3B-Thinking` | 262K | $0.15 | $1.50 | Function calling |
+| Vertex AI | MedGemma models | Varies | Varies | Varies | Medical-focused Gemma models on custom endpoints |
+| Watson X | 27 new foundation models | Varies | Varies | Varies | Granite, Llama, Mistral families |
+
+#### Features
+
+- **[OpenAI](../../docs/providers/openai)**
+    - Add GPT-5 Pro model configuration and documentation - [PR #15258](https://github.com/BerriAI/litellm/pull/15258)
+    - Add stop parameter to non-supported params for GPT-5 - [PR #15244](https://github.com/BerriAI/litellm/pull/15244)
+    - Day 0 Support, Add gpt-image-1-mini - [PR #15259](https://github.com/BerriAI/litellm/pull/15259)
+    - Add gpt-realtime-mini support - [PR #15283](https://github.com/BerriAI/litellm/pull/15283)
+    - Add gpt-5-pro-2025-10-06 to model costs - [PR #15344](https://github.com/BerriAI/litellm/pull/15344)
+    - Minimal fix: gpt5 models should not go on cooldown when called with temperature!=1 - [PR #15330](https://github.com/BerriAI/litellm/pull/15330)
+
+- **[Snowflake Cortex](../../docs/providers/snowflake)**
+    - Add function calling support for Snowflake Cortex REST API - [PR #15221](https://github.com/BerriAI/litellm/pull/15221)
+
+- **[Gemini](../../docs/providers/gemini)**
+    - Fix header forwarding for Gemini/Vertex AI providers in proxy mode - [PR #15231](https://github.com/BerriAI/litellm/pull/15231)
+
+- **[Azure](../../docs/providers/azure)**
+    - Removed stop param from unsupported azure models - [PR #15229](https://github.com/BerriAI/litellm/pull/15229)
+    - Fix(azure/responses): remove invalid status param from azure call - [PR #15253](https://github.com/BerriAI/litellm/pull/15253)
+    - Add new Azure AI models with pricing details - [PR #15387](https://github.com/BerriAI/litellm/pull/15387)
+    - AzureAD Default credentials - select credential type based on environment - [PR #14470](https://github.com/BerriAI/litellm/pull/14470)
+
+- **[Bedrock](../../docs/providers/bedrock)**
+    - Add Global Cross-Region Inference - [PR #15210](https://github.com/BerriAI/litellm/pull/15210)
+    - Add Cohere Embed v4 support for AWS Bedrock - [PR #15298](https://github.com/BerriAI/litellm/pull/15298)
+    - Fix(bedrock): include cacheWriteInputTokens in prompt_tokens calculation - [PR #15292](https://github.com/BerriAI/litellm/pull/15292)
+    - Add Bedrock AU Cross-Region Inference for Claude Sonnet 4.5 - [PR #15402](https://github.com/BerriAI/litellm/pull/15402)
+    - Converse → /v1/messages streaming doesn't handle parallel tool calls with Claude models - [PR #15315](https://github.com/BerriAI/litellm/pull/15315)
+
+- **[Vertex AI](../../docs/providers/vertex)**
+    - Implement Context Caching for Vertex AI provider - [PR #15226](https://github.com/BerriAI/litellm/pull/15226)
+    - Support for Vertex AI Gemma Models on Custom Endpoints - [PR #15397](https://github.com/BerriAI/litellm/pull/15397)
+    - VertexAI - gemma model family support (custom endpoints) - [PR #15419](https://github.com/BerriAI/litellm/pull/15419)
+    - VertexAI Gemma model family streaming support + Added MedGemma - [PR #15427](https://github.com/BerriAI/litellm/pull/15427)
+
+- **[OCI](../../docs/providers/oci)**
+    - Add OCI Cohere support with tool calling and streaming capabilities - [PR #15365](https://github.com/BerriAI/litellm/pull/15365)
+
+- **[Watson X](../../docs/providers/watsonx)**
+    - Add Watson X foundation model definitions to model_prices_and_context_window.json - [PR #15219](https://github.com/BerriAI/litellm/pull/15219)
+    - Watsonx - Apply correct prompt templates for openai/gpt-oss model family - [PR #15341](https://github.com/BerriAI/litellm/pull/15341)
+
+- **[OpenRouter](../../docs/providers/openrouter)**
+    - Fix - (openrouter): move cache_control to content blocks for claude/gemini - [PR #15345](https://github.com/BerriAI/litellm/pull/15345)
+    - Fix - OpenRouter cache_control to only apply to last content block - [PR #15395](https://github.com/BerriAI/litellm/pull/15395)
+
+- **[Together AI](../../docs/providers/togetherai)**
+    - Add new together models - [PR #15383](https://github.com/BerriAI/litellm/pull/15383)
+
+### Bug Fixes
+
+- **General**
+    - Bug fix: gpt-5-chat-latest has incorrect max_input_tokens value - [PR #15116](https://github.com/BerriAI/litellm/pull/15116)
+    - Fix reasoning response ID - [PR #15265](https://github.com/BerriAI/litellm/pull/15265)
+    - Fix issue with parsing assistant messages - [PR #15320](https://github.com/BerriAI/litellm/pull/15320)
+    - Fix litellm_param based costing - [PR #15336](https://github.com/BerriAI/litellm/pull/15336)
+    - Fix lint errors - [PR #15406](https://github.com/BerriAI/litellm/pull/15406)
+
+---
+
+## LLM API Endpoints
+
+#### Features
+
+- **[Responses API](../../docs/response_api)**
+    - Added streaming support for response api streaming image generation - [PR #15269](https://github.com/BerriAI/litellm/pull/15269)
+    - Add native Responses API support for litellm_proxy provider - [PR #15347](https://github.com/BerriAI/litellm/pull/15347)
+    - Temporarily relax ResponsesAPIResponse parsing to support custom backends (e.g., vLLM) - [PR #15362](https://github.com/BerriAI/litellm/pull/15362)
+
+- **[Files API](../../docs/files_api)**
+    - Feat(files): add @client decorator to file operations - [PR #15339](https://github.com/BerriAI/litellm/pull/15339)
+
+- **[/generateContent](../../docs/providers/gemini)**
+    - Fix gemini cli by actually streaming the response - [PR #15264](https://github.com/BerriAI/litellm/pull/15264)
+
+- **[Azure Passthrough](../../docs/pass_through/azure)**
+    - Azure - passthrough support with router models - [PR #15240](https://github.com/BerriAI/litellm/pull/15240)
+
+#### Bugs
+
+- **General**
+    - Fix x-litellm-cache-key header not being returned on cache hit - [PR #15348](https://github.com/BerriAI/litellm/pull/15348)
+
+---
+
+## Management Endpoints / UI
+
+#### Features
+
+- **Proxy CLI Auth**
+    - Proxy CLI - dont store existing key in the URL, store it in the state param - [PR #15290](https://github.com/BerriAI/litellm/pull/15290)
+
+- **Models + Endpoints**
+    - Make PATCH `/model/{model_id}/update` handle `team_id` consistently with POST `/model/new` - [PR #15297](https://github.com/BerriAI/litellm/pull/15297)
+    - Feature: adds Infinity as a provider in the UI - [PR #15285](https://github.com/BerriAI/litellm/pull/15285)
+    - Fix: model + endpoints page crash when config file contains router_settings.model_group_alias - [PR #15308](https://github.com/BerriAI/litellm/pull/15308)
+    - Models & Endpoints Initial Refactor - [PR #15435](https://github.com/BerriAI/litellm/pull/15435)
+    - Litellm UI API Reference page updates - [PR #15438](https://github.com/BerriAI/litellm/pull/15438)
+
+- **Teams**
+    - Teams page: new column "Your Role" on the teams table - [PR #15384](https://github.com/BerriAI/litellm/pull/15384)
+    - LiteLLM Dashboard Teams UI refactor - [PR #15418](https://github.com/BerriAI/litellm/pull/15418)
+
+- **UI Infrastructure**
+    - Added prettier to autoformat frontend - [PR #15215](https://github.com/BerriAI/litellm/pull/15215)
+    - Adds turbopack to the npm run dev command in UI to build faster during development - [PR #15250](https://github.com/BerriAI/litellm/pull/15250)
+    - (perf) fix: Replaces bloated key list calls with lean key aliases endpoint - [PR #15252](https://github.com/BerriAI/litellm/pull/15252)
+    - Potentially fixes a UI spasm issue with an expired cookie - [PR #15309](https://github.com/BerriAI/litellm/pull/15309)
+    - LiteLLM UI Refactor Infrastructure - [PR #15236](https://github.com/BerriAI/litellm/pull/15236)
+    - Enforces removal of unused imports from UI - [PR #15416](https://github.com/BerriAI/litellm/pull/15416)
+    - Fix: usage page >> Model Activity >> spend per day graph: y-axis clipping on large spend values - [PR #15389](https://github.com/BerriAI/litellm/pull/15389)
+    - Updates guardrail provider logos - [PR #15421](https://github.com/BerriAI/litellm/pull/15421)
+
+- **Admin Settings**
+    - Fix: Router settings do not update despite success message - [PR #15249](https://github.com/BerriAI/litellm/pull/15249)
+    - Fix: Prevents DB from accidentally overriding config file values if they are empty in DB - [PR #15340](https://github.com/BerriAI/litellm/pull/15340)
+
+- **SSO**
+    - SSO - support EntraID app roles - [PR #15351](https://github.com/BerriAI/litellm/pull/15351)
+
+---
+
+## Logging / Guardrail / Prompt Management Integrations
+
+#### Features
+
+- **[PostHog](../../docs/observability/posthog)**
+    - Feat: posthog per request api key - [PR #15379](https://github.com/BerriAI/litellm/pull/15379)
+
+#### Guardrails
+
+- **[EnkryptAI](../../docs/proxy/guardrails)**
+    - Add EnkryptAI Guardrails on LiteLLM - [PR #15390](https://github.com/BerriAI/litellm/pull/15390)
+
+---
+
+## Spend Tracking, Budgets and Rate Limiting
+
+- **Tag Management**
+    - Tag Management - Add support for setting tag based budgets - [PR #15433](https://github.com/BerriAI/litellm/pull/15433)
+
+- **Dynamic Rate Limiter v3**
+    - QA/Fixes - Dynamic Rate Limiter v3 - final QA - [PR #15311](https://github.com/BerriAI/litellm/pull/15311)
+    - Fix dynamic Rate limiter v3 - inserting litellm_model_saturation - [PR #15394](https://github.com/BerriAI/litellm/pull/15394)
+
+- **Shared Health Check**
+    - Implement Shared Health Check State Across Pods - [PR #15380](https://github.com/BerriAI/litellm/pull/15380)
+
+---
+
+## MCP Gateway
+
+- **Tool Control**
+    - MCP Gateway - UI - Select allowed tools for Key, Teams - [PR #15241](https://github.com/BerriAI/litellm/pull/15241)
+    - MCP Gateway - Backend - Allow storing allowed tools by team/key - [PR #15243](https://github.com/BerriAI/litellm/pull/15243)
+    - MCP Gateway - Fine-grained Database Object Storage Control - [PR #15255](https://github.com/BerriAI/litellm/pull/15255)
+    - MCP Gateway - Litellm mcp fixes team control - [PR #15304](https://github.com/BerriAI/litellm/pull/15304)
+    - MCP Gateway - QA/Fixes - Ensure Team/Key level enforcement works for MCPs - [PR #15305](https://github.com/BerriAI/litellm/pull/15305)
+    - Feature: Include server_name in /v1/mcp/server/health endpoint response - [PR #15431](https://github.com/BerriAI/litellm/pull/15431)
+
+- **OpenAPI Integration**
+    - MCP - support converting OpenAPI specs to MCP servers - [PR #15343](https://github.com/BerriAI/litellm/pull/15343)
+    - MCP - specify allowed params per tool - [PR #15346](https://github.com/BerriAI/litellm/pull/15346)
+
+- **Configuration**
+    - MCP - support setting CA_BUNDLE_PATH - [PR #15253](https://github.com/BerriAI/litellm/pull/15253)
+    - Fix: Ensure MCP client stays open during tool call - [PR #15391](https://github.com/BerriAI/litellm/pull/15391)
+    - Remove hardcoded "public" schema in migration.sql - [PR #15363](https://github.com/BerriAI/litellm/pull/15363)
+
+---
+
+## Performance / Loadbalancing / Reliability improvements
+
+- **Router Optimizations**
+    - Fix - Router: add model_name index for O(1) deployment lookups - [PR #15113](https://github.com/BerriAI/litellm/pull/15113)
+    - Refactor Utils: extract inner function from client - [PR #15234](https://github.com/BerriAI/litellm/pull/15234)
+    - Fix Networking: remove limitations - [PR #15302](https://github.com/BerriAI/litellm/pull/15302)
+
+- **Session Management**
+    - Fix - Sessions not being shared - [PR #15388](https://github.com/BerriAI/litellm/pull/15388)
+    - Fix: remove panic from hot path - [PR #15396](https://github.com/BerriAI/litellm/pull/15396)
+    - Fix - shared session parsing and usage issue - [PR #15440](https://github.com/BerriAI/litellm/pull/15440)
+    - Fix: handle closed aiohttp sessions - [PR #15442](https://github.com/BerriAI/litellm/pull/15442)
+    - Fix: prevent session leaks when recreating aiohttp sessions - [PR #15443](https://github.com/BerriAI/litellm/pull/15443)
+
+- **SSL/TLS Performance**
+    - Perf: optimize SSL/TLS handshake performance with prioritized cipher - [PR #15398](https://github.com/BerriAI/litellm/pull/15398)
+
+- **Dependencies**
+    - Upgrades tenacity version to 8.5.0 - [PR #15303](https://github.com/BerriAI/litellm/pull/15303)
+
+- **Data Masking**
+    - Fix - SensitiveDataMasker converts lists to string - [PR #15420](https://github.com/BerriAI/litellm/pull/15420)
+
+---
+
+
+## General AI Gateway Improvements
+
+#### Security
+
+- **General**
+    - Fix: redact AWS credentials when redact_user_api_key_info enabled - [PR #15321](https://github.com/BerriAI/litellm/pull/15321)
+
+---
+
+## Documentation Updates
+
+- **Provider Documentation**
+    - Update doc: perf update - [PR #15211](https://github.com/BerriAI/litellm/pull/15211)
+    - Add W&B Inference documentation - [PR #15278](https://github.com/BerriAI/litellm/pull/15278)
+
+- **Deployment**
+    - Deletion of docker-compose buggy comment that cause `config.yaml` based startup fail - [PR #15425](https://github.com/BerriAI/litellm/pull/15425)
+
+---
+
+## New Contributors
+
+* @Gal-bloch made their first contribution in [PR #15219](https://github.com/BerriAI/litellm/pull/15219)
+* @lcfyi made their first contribution in [PR #15315](https://github.com/BerriAI/litellm/pull/15315)
+* @ashengstd made their first contribution in [PR #15362](https://github.com/BerriAI/litellm/pull/15362)
+* @vkolehmainen made their first contribution in [PR #15363](https://github.com/BerriAI/litellm/pull/15363)
+* @jlan-nl made their first contribution in [PR #15330](https://github.com/BerriAI/litellm/pull/15330)
+* @BCook98 made their first contribution in [PR #15402](https://github.com/BerriAI/litellm/pull/15402)
+* @PabloGmz96 made their first contribution in [PR #15425](https://github.com/BerriAI/litellm/pull/15425)
+
+---
+
+## **[Full Changelog](https://github.com/BerriAI/litellm/compare/v1.77.7.rc.1...v1.78.0.rc.1)**
+
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index e8d002440d..6d5d6d68d9 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -189,12 +189,13 @@ const sidebars = {
           type: "category",
           label: "Budgets + Rate Limits",
           items: [
+            "proxy/users",
+            "proxy/team_budgets",
+            "proxy/tag_budgets",
             "proxy/customers",
             "proxy/dynamic_rate_limit",
             "proxy/rate_limit_tiers",
-            "proxy/team_budgets",
             "proxy/temporary_budget_increase",
-            "proxy/users"
           ],
         },
         "proxy/caching",
@@ -423,6 +424,7 @@ const sidebars = {
           items: [
             "providers/vertex",
             "providers/vertex_partner",
+            "providers/vertex_self_deployed",
             "providers/vertex_image",
             "providers/vertex_batch",
           ]
diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.2.26-py3-none-any.whl b/litellm-proxy-extras/dist/litellm_proxy_extras-0.2.26-py3-none-any.whl
new file mode 100644
index 0000000000..47b31557f8
Binary files /dev/null and b/litellm-proxy-extras/dist/litellm_proxy_extras-0.2.26-py3-none-any.whl differ
diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.2.26.tar.gz b/litellm-proxy-extras/dist/litellm_proxy_extras-0.2.26.tar.gz
new file mode 100644
index 0000000000..62fd473342
Binary files /dev/null and b/litellm-proxy-extras/dist/litellm_proxy_extras-0.2.26.tar.gz differ
diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20251011084309_add_tag_table/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20251011084309_add_tag_table/migration.sql
new file mode 100644
index 0000000000..541c70c7e4
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20251011084309_add_tag_table/migration.sql
@@ -0,0 +1,18 @@
+-- CreateTable
+CREATE TABLE "LiteLLM_TagTable" (
+    "tag_name" TEXT NOT NULL,
+    "description" TEXT,
+    "models" TEXT[],
+    "model_info" JSONB,
+    "spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0,
+    "budget_id" TEXT,
+    "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "created_by" TEXT,
+    "updated_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "LiteLLM_TagTable_pkey" PRIMARY KEY ("tag_name")
+);
+
+-- AddForeignKey
+ALTER TABLE "LiteLLM_TagTable" ADD CONSTRAINT "LiteLLM_TagTable_budget_id_fkey" FOREIGN KEY ("budget_id") REFERENCES "LiteLLM_BudgetTable"("budget_id") ON DELETE SET NULL ON UPDATE CASCADE;
+
diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index 625897c3ca..a13af1afc5 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -25,6 +25,7 @@ model LiteLLM_BudgetTable {
   organization LiteLLM_OrganizationTable[] // multiple orgs can have the same budget
   keys LiteLLM_VerificationToken[] // multiple keys can have the same budget
   end_users LiteLLM_EndUserTable[] // multiple end-users can have the same budget
+  tags LiteLLM_TagTable[] // multiple tags can have the same budget
   team_membership LiteLLM_TeamMembership[] // budgets of Users within a Team 
   organization_membership LiteLLM_OrganizationMembership[] // budgets of Users within a Organization 
 }
@@ -245,6 +246,20 @@ model LiteLLM_EndUserTable {
   blocked Boolean @default(false)
 }
 
+// Track tags with budgets and spend
+model LiteLLM_TagTable {
+  tag_name String @id
+  description String?
+  models String[]
+  model_info Json? // maps model_id to model_name
+  spend Float @default(0.0)
+  budget_id String?
+  litellm_budget_table LiteLLM_BudgetTable? @relation(fields: [budget_id], references: [budget_id])
+  created_at DateTime @default(now()) @map("created_at")
+  created_by String?
+  updated_at DateTime @default(now()) @updatedAt @map("updated_at")
+}
+
 // store proxy config.yaml
 model LiteLLM_Config {
   param_name String @id
diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
index fbd8167e79..1da3fa405a 100644
--- a/litellm-proxy-extras/pyproject.toml
+++ b/litellm-proxy-extras/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm-proxy-extras"
-version = "0.2.25"
+version = "0.2.26"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 authors = ["BerriAI"]
 readme = "README.md"
@@ -22,7 +22,7 @@ requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "0.2.25"
+version = "0.2.26"
 version_files = [
     "pyproject.toml:version",
     "../requirements.txt:litellm-proxy-extras==",
diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index 5f732fc521..683f06ee0c 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -18,13 +18,15 @@ from typing import (
     cast,
 )
 
+from openai.types.responses.tool_param import FunctionToolParam
+
 from litellm import ModelResponse
 from litellm._logging import verbose_logger
 from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator
 from litellm.llms.base_llm.bridges.completion_transformation import (
     CompletionTransformationBridge,
 )
-from litellm.types.llms.openai import Reasoning
+from litellm.types.llms.openai import ChatCompletionToolParamFunctionChunk, Reasoning
 
 if TYPE_CHECKING:
     from openai.types.responses import ResponseInputImageParam
@@ -50,6 +52,47 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
     def __init__(self):
         pass
 
+    def _handle_raw_dict_response_item(
+        self, item: Dict[str, Any], index: int
+    ) -> Tuple[Optional[Any], int]:
+        """
+        Handle raw dict response items from Responses API (e.g., GPT-5 Codex format).
+        
+        Args:
+            item: Raw dict response item with 'type' field
+            index: Current choice index
+            
+        Returns:
+            Tuple of (Choice object or None, updated index)
+        """
+        from litellm.types.utils import Choices, Message
+
+        item_type = item.get("type")
+        
+        # Ignore reasoning items for now
+        if item_type == "reasoning":
+            return None, index
+            
+        # Handle message items with output_text content
+        if item_type == "message":
+            content_list = item.get("content", [])
+            for content_item in content_list:
+                if isinstance(content_item, dict):
+                    content_type = content_item.get("type")
+                    if content_type == "output_text":
+                        response_text = content_item.get("text", "")
+                        msg = Message(
+                            role=item.get("role", "assistant"),
+                            content=response_text if response_text else ""
+                        )
+                        choice = Choices(
+                            message=msg, finish_reason="stop", index=index
+                        )
+                        return choice, index + 1
+        
+        # Unknown or unsupported type
+        return None, index
+
     def convert_chat_completion_messages_to_responses_api(
         self, messages: List["AllMessageValues"]
     ) -> Tuple[List[Any], Optional[str]]:
@@ -201,6 +244,11 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
             if value is not None:
                 if key == "instructions" and instructions:
                     request_data["instructions"] = instructions
+                elif key == "stream_options" and isinstance(value, dict):
+                    request_data["stream_options"] = value.get("include_obfuscation")
+                elif key == "user":  # string can't be longer than 64 characters
+                    if isinstance(value, str) and len(value) <= 64:
+                        request_data["user"] = value
                 else:
                     request_data[key] = value
 
@@ -221,7 +269,6 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
         json_mode: Optional[bool] = None,
     ) -> "ModelResponse":
         """Transform Responses API response to chat completion response"""
-
         from openai.types.responses import (
             ResponseFunctionToolCall,
             ResponseOutputMessage,
@@ -240,19 +287,35 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
 
         choices: List[Choices] = []
         index = 0
+
+        reasoning_content: Optional[str] = None
+
         for item in raw_response.output:
+
             if isinstance(item, ResponseReasoningItem):
-                pass  # ignore for now.
+
+                for content in item.summary:
+                    response_text = getattr(content, "text", "")
+                    reasoning_content = response_text if response_text else ""
+
             elif isinstance(item, ResponseOutputMessage):
                 for content in item.content:
                     response_text = getattr(content, "text", "")
                     msg = Message(
-                        role=item.role, content=response_text if response_text else ""
+                        role=item.role,
+                        content=response_text if response_text else "",
+                        reasoning_content=reasoning_content,
                     )
 
                     choices.append(
-                        Choices(message=msg, finish_reason="stop", index=index)
+                        Choices(
+                            message=msg,
+                            finish_reason="stop",
+                            index=index,
+                        )
                     )
+
+                    reasoning_content = None  # flush reasoning content
                     index += 1
             elif isinstance(item, ResponseFunctionToolCall):
                 msg = Message(
@@ -267,12 +330,19 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                             "type": "function",
                         }
                     ],
+                    reasoning_content=reasoning_content,
                 )
 
                 choices.append(
                     Choices(message=msg, finish_reason="tool_calls", index=index)
                 )
+                reasoning_content = None  # flush reasoning content
                 index += 1
+            elif isinstance(item, dict):
+                # Handle raw dict responses (e.g., from GPT-5 Codex)
+                choice, index = self._handle_raw_dict_response_item(item=item, index=index)
+                if choice is not None:
+                    choices.append(choice)
             else:
                 pass  # don't fail request if item in list is not supported
 
@@ -447,9 +517,25 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
         self, tools: List[Dict[str, Any]]
     ) -> List["ALL_RESPONSES_API_TOOL_PARAMS"]:
         """Convert chat completion tools to responses API tools format"""
-        responses_tools = []
+        responses_tools: List["ALL_RESPONSES_API_TOOL_PARAMS"] = []
         for tool in tools:
-            responses_tools.append(tool)
+            # convert function tool from chat completion to responses API format
+            if tool.get("type") == "function":
+                function_tool = cast(
+                    ChatCompletionToolParamFunctionChunk, tool.get("function")
+                )
+                responses_tools.append(
+                    FunctionToolParam(
+                        name=function_tool["name"],
+                        parameters=function_tool.get("parameters"),
+                        strict=function_tool.get("strict"),
+                        type="function",
+                        description=function_tool.get("description"),
+                    )
+                )
+            else:
+                responses_tools.append(tool)  # type: ignore
+
         return cast(List["ALL_RESPONSES_API_TOOL_PARAMS"], responses_tools)
 
     def _map_reasoning_effort(self, reasoning_effort: str) -> Optional[Reasoning]:
diff --git a/litellm/integrations/posthog.py b/litellm/integrations/posthog.py
index dfa180642c..c609d30ccf 100644
--- a/litellm/integrations/posthog.py
+++ b/litellm/integrations/posthog.py
@@ -11,11 +11,10 @@ For batching specific details see CustomBatchLogger class
 
 import asyncio
 import os
-from litellm._uuid import uuid
-from typing import Any, Dict, Optional
-
+from typing import Any, Dict, Optional, Tuple
 
 from litellm._logging import verbose_logger
+from litellm._uuid import uuid
 from litellm.integrations.custom_batch_logger import CustomBatchLogger
 from litellm.llms.custom_httpx.http_handler import (
     _get_httpx_client,
@@ -74,6 +73,8 @@ class PostHogLogger(CustomBatchLogger):
             )
 
             api_key, api_url = self._get_credentials_for_request(kwargs)
+            if api_key is None or api_url is None:
+                raise Exception("PostHog credentials not found in kwargs")
             event_payload = self.create_posthog_event_payload(kwargs)
 
             headers = {
@@ -275,7 +276,7 @@ class PostHogLogger(CustomBatchLogger):
 
         return self._safe_uuid()
 
-    def _get_credentials_for_request(self, kwargs: Dict[str, Any]) -> tuple[str, str]:
+    def _get_credentials_for_request(self, kwargs: Dict[str, Any]) -> Tuple[Optional[str], Optional[str]]:
         """
         Get PostHog credentials for this request.
 
diff --git a/litellm/litellm_core_utils/sensitive_data_masker.py b/litellm/litellm_core_utils/sensitive_data_masker.py
index 05f1a37ca1..ea0bed3041 100644
--- a/litellm/litellm_core_utils/sensitive_data_masker.py
+++ b/litellm/litellm_core_utils/sensitive_data_masker.py
@@ -75,7 +75,7 @@ class SensitiveDataMasker:
                     masked_data[k] = self._mask_value(str_value)
                 else:
                     masked_data[k] = (
-                        v if isinstance(v, (int, float, bool, str)) else str(v)
+                        v if isinstance(v, (int, float, bool, str, list)) else str(v)
                     )
             except Exception:
                 masked_data[k] = "<unable to serialize>"
@@ -89,12 +89,14 @@ masker = SensitiveDataMasker()
 data = {
     "api_key": "sk-1234567890abcdef",
     "redis_password": "very_secret_pass",
-    "port": 6379
+    "port": 6379,
+    "tags": ["East US 2", "production", "test"]
 }
 masked = masker.mask_dict(data)
 # Result: {
 #    "api_key": "sk-1****cdef",
 #    "redis_password": "very****pass",
-#    "port": 6379
+#    "port": 6379,
+#    "tags": ["East US 2", "production", "test"]
 # }
 """
diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py
index 5e0dfa9238..88a63fc6f5 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py
@@ -133,7 +133,6 @@ class LiteLLMMessagesToCompletionTransformationHandler:
         **kwargs,
     ) -> Union[AnthropicMessagesResponse, AsyncIterator]:
         """Handle non-Anthropic models asynchronously using the adapter"""
-
         completion_kwargs = (
             LiteLLMMessagesToCompletionTransformationHandler._prepare_completion_kwargs(
                 max_tokens=max_tokens,
diff --git a/litellm/llms/azure/common_utils.py b/litellm/llms/azure/common_utils.py
index 54352148c5..dfe662cc16 100644
--- a/litellm/llms/azure/common_utils.py
+++ b/litellm/llms/azure/common_utils.py
@@ -672,6 +672,10 @@ class BaseAzureLLM(BaseOpenAILLM):
     ) -> dict:
         litellm_params = litellm_params or GenericLiteLLMParams()
 
+        # Check if api-key is already in headers; if so, use it
+        if "api-key" in headers:
+            return headers
+
         api_key = (
             litellm_params.api_key
             or litellm.api_key
diff --git a/litellm/llms/azure/responses/transformation.py b/litellm/llms/azure/responses/transformation.py
index cf9f970995..1516ed089e 100644
--- a/litellm/llms/azure/responses/transformation.py
+++ b/litellm/llms/azure/responses/transformation.py
@@ -1,4 +1,4 @@
-from typing import TYPE_CHECKING, Any, Dict, Literal, Optional, Tuple
+from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Tuple, Union
 
 import httpx
 from openai.types.responses import ResponseReasoningItem
@@ -41,12 +41,10 @@ class AzureOpenAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
 
     def _handle_reasoning_item(self, item: Dict[str, Any]) -> Dict[str, Any]:
         """
-        Handle reasoning items specifically to filter out status=None using OpenAI's model.
+        Handle reasoning items to filter out the status field.
         Issue: https://github.com/BerriAI/litellm/issues/13484
-        OpenAI API does not accept ReasoningItem(status=None), so we need to:
-        1. Check if the item is a reasoning type
-        2. Create a ResponseReasoningItem object with the item data
-        3. Convert it back to dict with exclude_none=True to filter None values
+        
+        Azure OpenAI API does not accept 'status' field in reasoning input items.
         """
         if item.get("type") == "reasoning":
             try:
@@ -82,6 +80,32 @@ class AzureOpenAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
                 }
                 return filtered_item
         return item
+    
+    def _validate_input_param(
+        self, input: Union[str, ResponseInputParam]
+    ) -> Union[str, ResponseInputParam]:
+        """
+        Override parent method to also filter out 'status' field from message items.
+        Azure OpenAI API does not accept 'status' field in input messages.
+        """
+        from typing import cast
+
+        # First call parent's validation
+        validated_input = super()._validate_input_param(input)
+        
+        # Then filter out status from message items
+        if isinstance(validated_input, list):
+            filtered_input: List[Any] = []
+            for item in validated_input:
+                if isinstance(item, dict) and item.get("type") == "message":
+                    # Filter out status field from message items
+                    filtered_item = {k: v for k, v in item.items() if k != "status"}
+                    filtered_input.append(filtered_item)
+                else:
+                    filtered_input.append(item)
+            return cast(ResponseInputParam, filtered_input)
+        
+        return validated_input
 
     def transform_responses_api_request(
         self,
diff --git a/litellm/llms/azure_ai/embed/handler.py b/litellm/llms/azure_ai/embed/handler.py
index da39c5f3b8..13b8cc4cf2 100644
--- a/litellm/llms/azure_ai/embed/handler.py
+++ b/litellm/llms/azure_ai/embed/handler.py
@@ -210,6 +210,7 @@ class AzureAIEmbedding(OpenAIChatCompletion):
         client=None,
         aembedding=None,
         max_retries: Optional[int] = None,
+        shared_session=None,
     ) -> EmbeddingResponse:
         """
         - Separate image url from text
@@ -275,6 +276,7 @@ class AzureAIEmbedding(OpenAIChatCompletion):
                     else None
                 ),
                 aembedding=aembedding,
+                shared_session=shared_session,
             )
 
             text_embedding_responses = response.data
diff --git a/litellm/llms/bedrock/common_utils.py b/litellm/llms/bedrock/common_utils.py
index bd371414db..1a599fda59 100644
--- a/litellm/llms/bedrock/common_utils.py
+++ b/litellm/llms/bedrock/common_utils.py
@@ -440,7 +440,7 @@ class BedrockModelInfo(BaseLLMModelInfo):
         """
         Abbreviations of regions AWS Bedrock supports for cross region inference
         """
-        return ["global", "us", "eu", "apac", "jp"]
+        return ["global", "us", "eu", "apac", "jp", "au"]
 
     @staticmethod
     def get_bedrock_route(
diff --git a/litellm/llms/custom_httpx/aiohttp_transport.py b/litellm/llms/custom_httpx/aiohttp_transport.py
index ab69ea1f8c..50bbccd6a4 100644
--- a/litellm/llms/custom_httpx/aiohttp_transport.py
+++ b/litellm/llms/custom_httpx/aiohttp_transport.py
@@ -152,6 +152,16 @@ class LiteLLMAiohttpTransport(AiohttpTransport):
 
         # If we don't have a client or it's not a ClientSession, create one
         if not isinstance(self.client, ClientSession):
+            if hasattr(self, "_client_factory") and callable(self._client_factory):
+                self.client = self._client_factory()
+            else:
+                self.client = ClientSession()
+            # Don't return yet - check if the newly created session is valid
+
+        # Check if the session itself is closed
+        if self.client.closed:
+            verbose_logger.debug("Session is closed, creating new session")
+            # Create a new session
             if hasattr(self, "_client_factory") and callable(self._client_factory):
                 self.client = self._client_factory()
             else:
@@ -169,14 +179,17 @@ class LiteLLMAiohttpTransport(AiohttpTransport):
                 or session_loop != current_loop
                 or session_loop.is_closed()
             ):
-                # Clean up the old session
+                # Close old session to prevent leaks
+                old_session = self.client
                 try:
-                    # Note: not awaiting close() here as it might be from a different loop
-                    # The session will be garbage collected
-                    pass
+                    if not old_session.closed:
+                        try:
+                            asyncio.create_task(old_session.close())
+                        except RuntimeError:
+                            # Different event loop - can't schedule task, rely on GC
+                            verbose_logger.debug("Old session from different loop, relying on GC")
                 except Exception as e:
                     verbose_logger.debug(f"Error closing old session: {e}")
-                    pass
 
                 # Create a new session in the current event loop
                 if hasattr(self, "_client_factory") and callable(self._client_factory):
@@ -193,13 +206,58 @@ class LiteLLMAiohttpTransport(AiohttpTransport):
 
         return self.client
     
+    async def _make_aiohttp_request(
+        self,
+        client_session: ClientSession,
+        request: httpx.Request,
+        timeout: dict,
+        proxy: Optional[str],
+        sni_hostname: Optional[str],
+    ) -> ClientResponse:
+        """
+        Helper function to make an aiohttp request with the given parameters.
+        
+        Args:
+            client_session: The aiohttp ClientSession to use
+            request: The httpx Request to send
+            timeout: Timeout settings dict with 'connect', 'read', 'pool' keys
+            proxy: Optional proxy URL
+            sni_hostname: Optional SNI hostname for SSL
+            
+        Returns:
+            ClientResponse from aiohttp
+        """
+        from aiohttp import ClientTimeout
+        from yarl import URL as YarlURL
+        
+        try:
+            data = request.content
+        except httpx.RequestNotRead:
+            data = request.stream  # type: ignore
+            request.headers.pop("transfer-encoding", None)  # handled by aiohttp
+
+        response = await client_session.request(
+            method=request.method,
+            url=YarlURL(str(request.url), encoded=True),
+            headers=request.headers,
+            data=data,
+            allow_redirects=False,
+            auto_decompress=False,
+            timeout=ClientTimeout(
+                sock_connect=timeout.get("connect"),
+                sock_read=timeout.get("read"),
+                connect=timeout.get("pool"),
+            ),
+            proxy=proxy,
+            server_hostname=sni_hostname,
+        ).__aenter__()
+        
+        return response
+    
     async def handle_async_request(
         self,
         request: httpx.Request,
     ) -> httpx.Response:
-        from aiohttp import ClientTimeout
-        from yarl import URL as YarlURL
-
         timeout = request.extensions.get("timeout", {})
         sni_hostname = request.extensions.get("sni_hostname")
 
@@ -209,28 +267,38 @@ class LiteLLMAiohttpTransport(AiohttpTransport):
         # Resolve proxy settings from environment variables
         proxy = await self._get_proxy_settings(request)
 
-        with map_aiohttp_exceptions():
-            try:
-                data = request.content
-            except httpx.RequestNotRead:
-                data = request.stream  # type: ignore
-                request.headers.pop("transfer-encoding", None)  # handled by aiohttp
-
-            response = await client_session.request(
-                method=request.method,
-                url=YarlURL(str(request.url), encoded=True),
-                headers=request.headers,
-                data=data,
-                allow_redirects=False,
-                auto_decompress=False,
-                timeout=ClientTimeout(
-                    sock_connect=timeout.get("connect"),
-                    sock_read=timeout.get("read"),
-                    connect=timeout.get("pool"),
-                ),
-                proxy=proxy,
-                server_hostname=sni_hostname,
-            ).__aenter__()
+        try:
+            with map_aiohttp_exceptions():
+                response = await self._make_aiohttp_request(
+                    client_session=client_session,
+                    request=request,
+                    timeout=timeout,
+                    proxy=proxy,
+                    sni_hostname=sni_hostname,
+                )
+        except RuntimeError as e:
+            # Handle the case where session was closed between our check and actual use
+            if "Session is closed" in str(e):
+                verbose_logger.debug(f"Session closed during request, retrying with new session: {e}")
+                # Force creation of a new session
+                if hasattr(self, "_client_factory") and callable(self._client_factory):
+                    self.client = self._client_factory()
+                else:
+                    self.client = ClientSession()
+                client_session = self.client
+                
+                # Retry the request with the new session
+                with map_aiohttp_exceptions():
+                    response = await self._make_aiohttp_request(
+                        client_session=client_session,
+                        request=request,
+                        timeout=timeout,
+                        proxy=proxy,
+                        sni_hostname=sni_hostname,
+                    )
+            else:
+                # Re-raise if it's a different RuntimeError
+                raise
 
         return httpx.Response(
             status_code=response.status,
diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py
index 7f246e775a..5037f4d8d4 100644
--- a/litellm/llms/custom_httpx/llm_http_handler.py
+++ b/litellm/llms/custom_httpx/llm_http_handler.py
@@ -13,13 +13,13 @@ from typing import (
     cast,
 )
 
-from litellm._logging import verbose_logger
 import httpx  # type: ignore
 
 import litellm
 import litellm.litellm_core_utils
 import litellm.types
 import litellm.types.utils
+from litellm._logging import verbose_logger
 from litellm.litellm_core_utils.realtime_streaming import RealTimeStreaming
 from litellm.llms.base_llm.anthropic_messages.transformation import (
     BaseAnthropicMessagesConfig,
@@ -239,7 +239,7 @@ class BaseLLMHTTPHandler:
         json_mode: bool = False,
         signed_json_body: Optional[bytes] = None,
         shared_session: Optional["ClientSession"] = None,
-    ):  
+    ):
         if client is None:
             verbose_logger.debug(
                 f"Creating HTTP client with shared_session: {id(shared_session) if shared_session else None}"
@@ -1533,6 +1533,7 @@ class BaseLLMHTTPHandler:
                         data=data,
                         fake_stream=fake_stream,
                     )
+
                 response = sync_httpx_client.post(
                     url=api_base,
                     headers=headers,
diff --git a/litellm/llms/oci/chat/transformation.py b/litellm/llms/oci/chat/transformation.py
index 1874005248..3ab827797c 100644
--- a/litellm/llms/oci/chat/transformation.py
+++ b/litellm/llms/oci/chat/transformation.py
@@ -19,6 +19,13 @@ from litellm.llms.custom_httpx.http_handler import (
 )
 from litellm.llms.oci.common_utils import OCIError
 from litellm.types.llms.oci import (
+    CohereChatRequest,
+    CohereMessage,
+    CohereChatResult,
+    CohereParameterDefinition,
+    CohereStreamChunk,
+    CohereTool,
+    CohereToolCall,
     OCIChatRequestPayload,
     OCICompletionPayload,
     OCICompletionResponse,
@@ -37,13 +44,13 @@ from litellm.types.llms.openai import AllMessageValues
 from litellm.types.utils import (
     Delta,
     LlmProviders,
+    ModelResponse,
     ModelResponseStream,
     StreamingChoices,
 )
 from litellm.utils import (
     ChatCompletionMessageToolCall,
     CustomStreamWrapper,
-    ModelResponse,
     Usage,
 )
 
@@ -170,13 +177,16 @@ class OCIChatConfig(BaseConfig):
             "web_search_options": False,
         }
 
+        # Cohere and Gemini use the same parameter mapping as GENERIC
+        self.openai_to_oci_cohere_param_map = self.openai_to_oci_generic_param_map.copy()
+
     def get_supported_openai_params(self, model: str) -> List[str]:
         supported_params = []
         vendor = get_vendor_from_model(model)
         if vendor == OCIVendors.COHERE:
-            raise ValueError(
-                "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
-            )
+            open_ai_to_oci_param_map = self.openai_to_oci_cohere_param_map
+            open_ai_to_oci_param_map.pop("tool_choice")
+            open_ai_to_oci_param_map.pop("max_retries")
         else:
             open_ai_to_oci_param_map = self.openai_to_oci_generic_param_map
         for key, value in open_ai_to_oci_param_map.items():
@@ -195,9 +205,7 @@ class OCIChatConfig(BaseConfig):
         adapted_params = {}
         vendor = get_vendor_from_model(model)
         if vendor == OCIVendors.COHERE:
-            raise ValueError(
-                "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
-            )
+            open_ai_to_oci_param_map = self.openai_to_oci_cohere_param_map
         else:
             open_ai_to_oci_param_map = self.openai_to_oci_generic_param_map
 
@@ -416,21 +424,130 @@ class OCIChatConfig(BaseConfig):
     def _get_optional_params(self, vendor: OCIVendors, optional_params: dict) -> Dict:
         selected_params = {}
         if vendor == OCIVendors.COHERE:
-            raise ValueError(
-                "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
-            )
+            open_ai_to_oci_param_map = self.openai_to_oci_cohere_param_map
+            # remove tool_choice from the map
+            open_ai_to_oci_param_map.pop("tool_choice")
+            # Add default values for Cohere API
+            selected_params = {
+                "maxTokens": 600,
+                "temperature": 1,
+                "topK": 0,
+                "topP": 0.75,
+                "frequencyPenalty": 0
+            }
         else:
             open_ai_to_oci_param_map = self.openai_to_oci_generic_param_map
 
-        for value in open_ai_to_oci_param_map.values():
-            if value in optional_params:
-                selected_params[value] = optional_params[value]
+        # Map OpenAI params to OCI params
+        for openai_key, oci_key in open_ai_to_oci_param_map.items():
+            if oci_key and openai_key in optional_params:
+                selected_params[oci_key] = optional_params[openai_key]  # type: ignore[index]
+        
+        # Also check for already-mapped OCI params (for backward compatibility)
+        for oci_value in open_ai_to_oci_param_map.values():
+            if oci_value and oci_value in optional_params and oci_value not in selected_params:
+                selected_params[oci_value] = optional_params[oci_value]  # type: ignore[index]
+        
         if "tools" in selected_params:
-            selected_params["tools"] = adapt_tool_definition_to_oci_standard(
-                selected_params["tools"], vendor
-            )
+            if vendor == OCIVendors.COHERE:
+                selected_params["tools"] = self.adapt_tool_definitions_to_cohere_standard(  # type: ignore[assignment]
+                    selected_params["tools"]  # type: ignore[arg-type]
+                )
+            else:
+                selected_params["tools"] = adapt_tool_definition_to_oci_standard(  # type: ignore[assignment]
+                    selected_params["tools"], vendor  # type: ignore[arg-type]
+                )
         return selected_params
 
+    def adapt_messages_to_cohere_standard(self, messages: List[AllMessageValues]) -> List[CohereMessage]:
+        """Build chat history for Cohere models."""
+        chat_history = []
+        for msg in messages[:-1]:  # All messages except the last one
+            role = msg.get("role")
+            content = msg.get("content")
+            
+            if isinstance(content, list):
+                # Extract text from content array
+                text_content = ""
+                for content_item in content:
+                    if isinstance(content_item, dict) and content_item.get("type") == "text":
+                        text_content += content_item.get("text", "")
+                content = text_content
+            
+            # Ensure content is a string
+            if not isinstance(content, str):
+                content = str(content) if content is not None else ""
+            
+            # Handle tool calls
+            tool_calls: Optional[List[CohereToolCall]] = None
+            if role == "assistant" and "tool_calls" in msg and msg.get("tool_calls"):  # type: ignore[union-attr,typeddict-item]
+                tool_calls = []
+                for tool_call in msg["tool_calls"]:  # type: ignore[union-attr,typeddict-item]
+                    # Parse arguments if they're a JSON string
+                    raw_arguments: Any = tool_call.get("function", {}).get("arguments", {})
+                    if isinstance(raw_arguments, str):
+                        try:
+                            arguments: Dict[str, Any] = json.loads(raw_arguments)
+                        except json.JSONDecodeError:
+                            arguments = {}
+                    else:
+                        arguments = raw_arguments
+                    
+                    tool_calls.append(CohereToolCall(
+                        name=str(tool_call.get("function", {}).get("name", "")),
+                        parameters=arguments
+                    ))
+            
+            if role == "user":
+                chat_history.append(CohereMessage(role="USER", message=content))
+            elif role == "assistant":
+                chat_history.append(CohereMessage(role="CHATBOT", message=content, toolCalls=tool_calls))
+            elif role == "tool":
+                # Tool messages need special handling
+                chat_history.append(CohereMessage(
+                    role="TOOL", 
+                    message=content,
+                    toolCalls=None  # Tool messages don't have tool calls
+                ))
+        
+        return chat_history
+
+    def adapt_tool_definitions_to_cohere_standard(self, tools: List[Dict[str, Any]]) -> List[CohereTool]:
+        """Adapt tool definitions to Cohere format."""
+        cohere_tools = []
+        for tool in tools:
+            function_def = tool.get("function", {})
+            parameters = function_def.get("parameters", {}).get("properties", {})
+            required = function_def.get("parameters", {}).get("required", [])
+            
+            parameter_definitions = {}
+            for param_name, param_schema in parameters.items():
+                parameter_definitions[param_name] = CohereParameterDefinition(
+                    description=param_schema.get("description", ""),
+                    type=param_schema.get("type", "string"),
+                    isRequired=param_name in required
+                )
+            
+            cohere_tools.append(CohereTool(
+                name=function_def.get("name", ""),
+                description=function_def.get("description", ""),
+                parameterDefinitions=parameter_definitions
+            ))
+        
+        return cohere_tools
+
+    def _extract_text_content(self, content: Any) -> str:
+        """Extract text content from message content."""
+        if isinstance(content, str):
+            return content
+        elif isinstance(content, list):
+            text_content = ""
+            for content_item in content:
+                if isinstance(content_item, dict) and content_item.get("type") == "text":
+                    text_content += content_item.get("text", "")
+            return text_content
+        return str(content)
+
     def transform_request(
         self,
         model: str,
@@ -445,28 +562,47 @@ class OCIChatConfig(BaseConfig):
 
         vendor = get_vendor_from_model(model)
 
-        if vendor == OCIVendors.COHERE:
+        oci_serving_mode = optional_params.get("oci_serving_mode", "ON_DEMAND")
+        if oci_serving_mode not in ["ON_DEMAND", "DEDICATED"]:
             raise Exception(
-                "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
+                "kwarg `oci_serving_mode` must be either 'ON_DEMAND' or 'DEDICATED'"
+            )
+
+        if oci_serving_mode == "DEDICATED":
+            servingMode = OCIServingMode(
+                servingType="DEDICATED",
+                endpointId=model,
             )
         else:
-            oci_serving_mode = optional_params.get("oci_serving_mode", "ON_DEMAND")
-            if oci_serving_mode not in ["ON_DEMAND", "DEDICATED"]:
-                raise Exception(
-                    "kwarg `oci_serving_mode` must be either 'ON_DEMAND' or 'DEDICATED'"
-                )
+            servingMode = OCIServingMode(
+                servingType="ON_DEMAND",
+                modelId=model,
+            )
 
-            if oci_serving_mode == "DEDICATED":
-                servingMode = OCIServingMode(
-                    servingType="DEDICATED",
-                    endpointId=model,
-                )
-            else:
-                servingMode = OCIServingMode(
-                    servingType="ON_DEMAND",
-                    modelId=model,
-                )
+        # Build request based on vendor type
+        if vendor == OCIVendors.COHERE:
+            # For Cohere, we need to use the specific Cohere format
+            # Extract the last user message as the main message
+            user_messages = [msg for msg in messages if msg.get("role") == "user"]
+            if not user_messages:
+                raise Exception("No user message found for Cohere model")
+            
 
+            # Create Cohere-specific chat request
+            chat_request = CohereChatRequest(
+                apiFormat="COHERE",
+                message=self._extract_text_content(user_messages[-1]["content"]),
+                chatHistory=self.adapt_messages_to_cohere_standard(messages),
+                **self._get_optional_params(OCIVendors.COHERE, optional_params)
+            )
+            
+            data = OCICompletionPayload(
+                compartmentId=oci_compartment_id,
+                servingMode=servingMode,
+                chatRequest=chat_request
+            )
+        else:
+            # Use generic format for other vendors
             data = OCICompletionPayload(
                 compartmentId=oci_compartment_id,
                 servingMode=servingMode,
@@ -479,6 +615,111 @@ class OCIChatConfig(BaseConfig):
 
         return data.model_dump(exclude_none=True)
 
+    def _handle_cohere_response(
+        self, 
+        json_response: dict, 
+        model: str, 
+        model_response: ModelResponse
+    ) -> ModelResponse:
+        """Handle Cohere-specific response format."""
+        cohere_response = CohereChatResult(**json_response)
+        # Cohere response format (uses camelCase)
+        model_id = model
+        
+        # Set basic response info
+        model_response.model = model_id
+        model_response.created = int(datetime.datetime.now().timestamp())
+        
+        # Extract the response text
+        response_text = cohere_response.chatResponse.text
+        oci_finish_reason = cohere_response.chatResponse.finishReason
+        
+        # Map finish reason
+        if oci_finish_reason == "COMPLETE":
+            finish_reason = "stop"
+        elif oci_finish_reason == "MAX_TOKENS":
+            finish_reason = "length"
+        else:
+            finish_reason = "stop"
+        
+        # Handle tool calls
+        tool_calls: Optional[List[Dict[str, Any]]] = None
+        if cohere_response.chatResponse.toolCalls:
+            tool_calls = []
+            for tool_call in cohere_response.chatResponse.toolCalls:
+                tool_calls.append({
+                    "id": f"call_{len(tool_calls)}",  # Generate a simple ID
+                    "type": "function",
+                    "function": {
+                        "name": tool_call.name,
+                        "arguments": json.dumps(tool_call.parameters)
+                    }
+                })
+        
+        # Create choice
+        from litellm.types.utils import Choices
+        choice = Choices(
+            index=0,
+            message={
+                "role": "assistant",
+                "content": response_text,
+                "tool_calls": tool_calls
+            },
+            finish_reason=finish_reason
+        )
+        model_response.choices = [choice]
+        
+        # Extract usage info
+        usage_info = cohere_response.chatResponse.usage
+        from litellm.types.utils import Usage
+        model_response.usage = Usage(  # type: ignore[attr-defined]
+            prompt_tokens=usage_info.promptTokens,  # type: ignore[union-attr]
+            completion_tokens=usage_info.completionTokens,  # type: ignore[union-attr]
+            total_tokens=usage_info.totalTokens  # type: ignore[union-attr]
+        )
+        
+        return model_response
+
+    def _handle_generic_response(
+        self, 
+        json: dict, 
+        model: str, 
+        model_response: ModelResponse,
+        raw_response: httpx.Response
+    ) -> ModelResponse:
+        """Handle generic OCI response format."""
+        try:
+            completion_response = OCICompletionResponse(**json)
+        except TypeError as e:
+            raise OCIError(
+                message=f"Response cannot be casted to OCICompletionResponse: {str(e)}",
+                status_code=raw_response.status_code,
+            )
+        
+        iso_str = completion_response.chatResponse.timeCreated
+        dt = datetime.datetime.fromisoformat(iso_str.replace("Z", "+00:00"))
+        model_response.created = int(dt.timestamp())
+
+        model_response.model = completion_response.modelId
+
+        message = model_response.choices[0].message  # type: ignore
+        response_message = completion_response.chatResponse.choices[0].message
+        if response_message.content and response_message.content[0].type == "TEXT":
+            message.content = response_message.content[0].text
+        if response_message.toolCalls:
+            message.tool_calls = adapt_tools_to_openai_standard(
+                response_message.toolCalls
+            )
+
+        usage = Usage(
+            prompt_tokens=completion_response.chatResponse.usage.promptTokens,
+            completion_tokens=completion_response.chatResponse.usage.completionTokens,
+            total_tokens=completion_response.chatResponse.usage.totalTokens,
+        )
+        model_response.usage = usage  # type: ignore
+
+        return model_response
+
     def transform_response(
         self,
         model: str,
@@ -509,46 +750,13 @@ class OCIChatConfig(BaseConfig):
                 status_code=raw_response.status_code,
             )
 
-        try:
-            completion_response = OCICompletionResponse(**json)
-        except TypeError as e:
-            raise OCIError(
-                message=f"Response cannot be casted to OCICompletionResponse: {str(e)}",
-                status_code=raw_response.status_code,
-            )
-
         vendor = get_vendor_from_model(model)
+        
+        # Handle response based on vendor type
         if vendor == OCIVendors.COHERE:
-            raise ValueError(
-                "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
-            )
+            model_response = self._handle_cohere_response(json, model, model_response)
         else:
-            iso_str = completion_response.chatResponse.timeCreated
-            dt = datetime.datetime.fromisoformat(iso_str.replace("Z", "+00:00"))
-            model_response.created = int(dt.timestamp())
-
-        model_response.model = completion_response.modelId
-
-        message = model_response.choices[0].message  # type: ignore
-        if vendor == OCIVendors.COHERE:
-            raise ValueError(
-                "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
-            )
-        else:
-            response_message = completion_response.chatResponse.choices[0].message
-            if response_message.content and response_message.content[0].type == "TEXT":
-                message.content = response_message.content[0].text
-            if response_message.toolCalls:
-                message.tool_calls = adapt_tools_to_openai_standard(
-                    response_message.toolCalls
-                )
-
-        usage = Usage(
-            prompt_tokens=completion_response.chatResponse.usage.promptTokens,
-            completion_tokens=completion_response.chatResponse.usage.completionTokens,
-            total_tokens=completion_response.chatResponse.usage.totalTokens,
-        )
-        model_response.usage = usage  # type: ignore
+            model_response = self._handle_generic_response(json, model, model_response, raw_response)
 
         model_response._hidden_params["additional_headers"] = raw_response.headers
 
@@ -818,26 +1026,21 @@ def adapt_messages_to_generic_oci_standard(
 
 def adapt_tool_definition_to_oci_standard(tools: List[Dict], vendor: OCIVendors):
     new_tools = []
-    if vendor == OCIVendors.COHERE:
-        raise ValueError(
-            "Cohere models are not yet supported in the litellm OCI chat completion endpoint. Use the Cohere API directly."
+    for tool in tools:
+        if tool["type"] != "function":
+            raise Exception("OCI only supports function tools")
+
+        tool_function = tool.get("function")
+        if not isinstance(tool_function, dict):
+            raise Exception("Prop `function` is not a dictionary")
+
+        new_tool = OCIToolDefinition(
+            type="FUNCTION",
+            name=tool_function.get("name"),
+            description=tool_function.get("description", ""),
+            parameters=tool_function.get("parameters", {}),
         )
-    else:
-        for tool in tools:
-            if tool["type"] != "function":
-                raise Exception("OCI only supports function tools")
-
-            tool_function = tool.get("function")
-            if not isinstance(tool_function, dict):
-                raise Exception("Prop `function` is not a dictionary")
-
-            new_tool = OCIToolDefinition(
-                type="FUNCTION",
-                name=tool_function.get("name"),
-                description=tool_function.get("description", ""),
-                parameters=tool_function.get("parameters", {}),
-            )
-            new_tools.append(new_tool)
+        new_tools.append(new_tool)
 
     return new_tools
 
@@ -877,6 +1080,58 @@ class OCIStreamWrapper(CustomStreamWrapper):
         if not chunk.startswith("data:"):
             raise ValueError(f"Chunk does not start with 'data:': {chunk}")
         dict_chunk = json.loads(chunk[5:])  # Remove 'data: ' prefix and parse JSON
+        
+        # Check if this is a Cohere stream chunk
+        if "apiFormat" in dict_chunk and dict_chunk.get("apiFormat") == "COHERE":
+            return self._handle_cohere_stream_chunk(dict_chunk)
+        else:
+            return self._handle_generic_stream_chunk(dict_chunk)
+
+    def _handle_cohere_stream_chunk(self, dict_chunk: dict):
+        """Handle Cohere-specific streaming chunks."""
+        try:
+            typed_chunk = CohereStreamChunk(**dict_chunk)
+        except TypeError as e:
+            raise ValueError(f"Chunk cannot be casted to CohereStreamChunk: {str(e)}")
+
+        if typed_chunk.index is None:
+            typed_chunk.index = 0
+
+        # Extract text content
+        text = typed_chunk.text or ""
+
+        # Map finish reason to standard format
+        finish_reason = typed_chunk.finishReason
+        if finish_reason == "COMPLETE":
+            finish_reason = "stop"
+        elif finish_reason == "MAX_TOKENS":
+            finish_reason = "length"
+        elif finish_reason is None:
+            finish_reason = None
+        else:
+            finish_reason = "stop"
+
+        # For Cohere, we don't have tool calls in the streaming format
+        tool_calls = None
+
+        return ModelResponseStream(
+            choices=[
+                StreamingChoices(
+                    index=typed_chunk.index if typed_chunk.index else 0,
+                    delta=Delta(
+                        content=text,
+                        tool_calls=tool_calls,
+                        provider_specific_fields=None,
+                        thinking_blocks=None,
+                        reasoning_content=None,
+                    ),
+                    finish_reason=finish_reason,
+                )
+            ]
+        )
+
+    def _handle_generic_stream_chunk(self, dict_chunk: dict):
+        """Handle generic OCI streaming chunks."""
         try:
             typed_chunk = OCIStreamChunk(**dict_chunk)
         except TypeError as e:
diff --git a/litellm/llms/openai/openai.py b/litellm/llms/openai/openai.py
index 3347e53324..324205237d 100644
--- a/litellm/llms/openai/openai.py
+++ b/litellm/llms/openai/openai.py
@@ -1125,6 +1125,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
         api_base: Optional[str] = None,
         client: Optional[AsyncOpenAI] = None,
         max_retries=None,
+        shared_session: Optional["ClientSession"] = None,
     ):
         try:
             openai_aclient: AsyncOpenAI = self._get_openai_client(  # type: ignore
@@ -1134,6 +1135,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
                 timeout=timeout,
                 max_retries=max_retries,
                 client=client,
+                shared_session=shared_session,
             )
             headers, response = await self.make_openai_embedding_request(
                 openai_aclient=openai_aclient,
@@ -1197,6 +1199,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
         client=None,
         aembedding=None,
         max_retries: Optional[int] = None,
+        shared_session: Optional["ClientSession"] = None,
     ) -> EmbeddingResponse:
         super().embedding()
         try:
@@ -1223,6 +1226,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM):
                     timeout=timeout,
                     client=client,
                     max_retries=max_retries,
+                    shared_session=shared_session,
                 )
 
             openai_client: OpenAI = self._get_openai_client(  # type: ignore
diff --git a/litellm/llms/openai/responses/transformation.py b/litellm/llms/openai/responses/transformation.py
index 4c82a35c11..1e949e434d 100644
--- a/litellm/llms/openai/responses/transformation.py
+++ b/litellm/llms/openai/responses/transformation.py
@@ -161,6 +161,10 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
     ) -> ResponsesAPIResponse:
         """No transform applied since outputs are in OpenAI spec already"""
         try:
+            logging_obj.post_call(
+                original_response=raw_response.text,
+                additional_args={"complete_input_dict": {}},
+            )
             raw_response_json = raw_response.json()
             raw_response_json["created_at"] = _safe_convert_created_field(
                 raw_response_json["created_at"]
@@ -169,7 +173,13 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
             raise OpenAIError(
                 message=raw_response.text, status_code=raw_response.status_code
             )
-        return ResponsesAPIResponse.model_construct(**raw_response_json)
+        try:
+            return ResponsesAPIResponse(**raw_response_json)
+        except Exception:
+            verbose_logger.debug(
+                f"Error constructing ResponsesAPIResponse: {raw_response_json}, using model_construct"
+            )
+            return ResponsesAPIResponse.model_construct(**raw_response_json)
 
     def validate_environment(
         self, headers: dict, model: str, litellm_params: Optional[GenericLiteLLMParams]
diff --git a/litellm/llms/vertex_ai/vertex_gemma_models/transformation.py b/litellm/llms/vertex_ai/vertex_gemma_models/transformation.py
index 5541b60f52..24b53f0ba4 100644
--- a/litellm/llms/vertex_ai/vertex_gemma_models/transformation.py
+++ b/litellm/llms/vertex_ai/vertex_gemma_models/transformation.py
@@ -29,6 +29,38 @@ class VertexGemmaConfig(OpenAIGPTConfig):
     def __init__(self) -> None:
         super().__init__()
 
+    def should_fake_stream(
+        self,
+        model: Optional[str],
+        stream: Optional[bool],
+        custom_llm_provider: Optional[str] = None,
+    ) -> bool:
+        """
+        Vertex AI Gemma models do not support streaming.
+        Return True to enable fake streaming on the client side.
+        """
+        return True
+
+    def _handle_fake_stream_response(
+        self,
+        model_response: ModelResponse,
+        stream: bool,
+    ) -> Union[ModelResponse, Any]:
+        """
+        Helper method to return fake stream iterator if streaming is requested.
+        
+        Args:
+            model_response: The completed model response
+            stream: Whether streaming was requested
+            
+        Returns:
+            MockResponseIterator if stream=True, otherwise the model_response
+        """
+        if stream:
+            from litellm.llms.base_llm.base_model_iterator import MockResponseIterator
+            return MockResponseIterator(model_response=model_response)
+        return model_response
+
     def transform_request(
         self,
         model: str,
@@ -52,41 +84,10 @@ class VertexGemmaConfig(OpenAIGPTConfig):
             headers=headers,
         )
         
-        # Remove 'model' from the request as it's not needed in the instance
-        openai_request.pop("model", None)
-        
-        # Wrap in Vertex Gemma format
-        return {
-            "instances": [
-                {
-                    "@requestFormat": "chatCompletions",
-                    **openai_request,
-                }
-            ]
-        }
-    
-    async def async_transform_request(
-        self,
-        model: str,
-        messages: List[AllMessageValues],
-        optional_params: dict,
-        litellm_params: dict,
-        headers: dict,
-    ) -> dict:
-        """
-        Async version of transform_request.
-        """
-        # Get the base OpenAI request from parent class
-        openai_request = await super().async_transform_request(
-            model=model,
-            messages=messages,
-            optional_params=optional_params,
-            litellm_params=litellm_params,
-            headers=headers,
-        )
-        
-        # Remove 'model' from the request as it's not needed in the instance
+        # Remove params not needed/supported by Vertex Gemma
         openai_request.pop("model", None)
+        openai_request.pop("stream", None)  # Streaming not supported, will be faked client-side
+        openai_request.pop("stream_options", None)  # Stream options not supported
         
         # Wrap in Vertex Gemma format
         return {
@@ -137,16 +138,8 @@ class VertexGemmaConfig(OpenAIGPTConfig):
     ):
         """
         Make completion request to Vertex Gemma endpoint.
-        Supports both sync and async requests.
+        Supports both sync and async requests with fake streaming.
         """
-        # Handle streaming
-        stream = optional_params.get("stream", False)
-        if stream:
-            raise BaseLLMException(
-                status_code=400,
-                message="Streaming is not yet supported for Vertex AI Gemma models",
-            )
-
         if acompletion:
             return self._async_completion(
                 model=model,
@@ -194,6 +187,9 @@ class VertexGemmaConfig(OpenAIGPTConfig):
         from litellm.llms.custom_httpx.http_handler import HTTPHandler
         from litellm.utils import convert_to_model_response_object
 
+        # Check if streaming is requested (will be faked)
+        stream = optional_params.get("stream", False)
+        
         # Transform the request using parent class methods
         request_data = self.transform_request(
             model=model,
@@ -260,7 +256,8 @@ class VertexGemmaConfig(OpenAIGPTConfig):
             additional_args={"complete_input_dict": request_data},
         )
         
-        return model_response
+        # Return fake stream iterator if streaming was requested
+        return self._handle_fake_stream_response(model_response=model_response, stream=stream)
 
     async def _async_completion(
         self,
@@ -277,9 +274,13 @@ class VertexGemmaConfig(OpenAIGPTConfig):
         encoding: Any,
     ):
         """Asynchronous completion request"""
-        from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+        from litellm.llms.custom_httpx.http_handler import get_async_httpx_client
+        from litellm.types.utils import LlmProviders
         from litellm.utils import convert_to_model_response_object
 
+        # Check if streaming is requested (will be faked)
+        stream = optional_params.get("stream", False)
+        
         # Transform the request using parent class async methods
         request_data = await self.async_transform_request(
             model=model,
@@ -306,7 +307,9 @@ class VertexGemmaConfig(OpenAIGPTConfig):
         )
 
         # Make the HTTP request
-        http_handler = AsyncHTTPHandler(concurrent_limit=1)
+        http_handler = get_async_httpx_client(
+            llm_provider=LlmProviders.VERTEX_AI,
+        )
         response = await http_handler.post(
             url=api_base,
             headers=headers,
@@ -346,5 +349,6 @@ class VertexGemmaConfig(OpenAIGPTConfig):
             additional_args={"complete_input_dict": request_data},
         )
         
-        return model_response
+        # Return fake stream iterator if streaming was requested
+        return self._handle_fake_stream_response(model_response=model_response, stream=stream)
 
diff --git a/litellm/main.py b/litellm/main.py
index 6cdba2e8e2..3955a0f32f 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -3996,6 +3996,7 @@ def embedding(  # noqa: PLR0915
     """
     azure = kwargs.get("azure", None)
     client = kwargs.pop("client", None)
+    shared_session = kwargs.get("shared_session", None)
     max_retries = kwargs.get("max_retries", None)
     litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj")  # type: ignore
     mock_response: Optional[List[float]] = kwargs.get("mock_response", None)  # type: ignore
@@ -4185,6 +4186,7 @@ def embedding(  # noqa: PLR0915
                 client=client,
                 aembedding=aembedding,
                 max_retries=max_retries,
+                shared_session=shared_session,
             )
         elif custom_llm_provider == "databricks":
             api_base = api_base or litellm.api_base or get_secret("DATABRICKS_API_BASE")  # type: ignore
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 38cf967168..d5611d2605 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -866,6 +866,36 @@
         "mode": "audio_transcription",
         "output_cost_per_second": 0.0
     },
+    "au.anthropic.claude-sonnet-4-5-20250929-v1:0": {
+        "cache_creation_input_token_cost": 4.125e-06,
+        "cache_read_input_token_cost": 3.3e-07,
+        "input_cost_per_token": 3.3e-06,
+        "input_cost_per_token_above_200k_tokens": 6.6e-06,
+        "output_cost_per_token_above_200k_tokens": 2.475e-05,
+        "cache_creation_input_token_cost_above_200k_tokens": 8.25e-06,
+        "cache_read_input_token_cost_above_200k_tokens": 6.6e-07,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 64000,
+        "max_tokens": 200000,
+        "mode": "chat",
+        "output_cost_per_token": 1.65e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346
+    },
     "azure/ada": {
         "input_cost_per_token": 1e-07,
         "litellm_provider": "azure",
@@ -13044,34 +13074,6 @@
         "supports_vision": true,
         "supports_web_search": true
     },
-    "gpt-5-codex": {
-        "cache_read_input_token_cost": 1.25e-07,
-        "input_cost_per_token": 1.25e-06,
-        "litellm_provider": "openai",
-        "max_input_tokens": 400000,
-        "max_output_tokens": 128000,
-        "max_tokens": 128000,
-        "mode": "chat",
-        "output_cost_per_token": 1e-05,
-        "supported_endpoints": [
-            "/v1/responses"
-        ],
-        "supported_modalities": [
-            "text",
-            "image"
-        ],
-        "supported_output_modalities": [
-            "text"
-        ],
-        "supports_function_calling": true,
-        "supports_native_streaming": true,
-        "supports_parallel_function_calling": true,
-        "supports_prompt_caching": true,
-        "supports_reasoning": true,
-        "supports_response_schema": true,
-        "supports_system_messages": true,
-        "supports_tool_choice": true
-    },
     "gpt-5-2025-08-07": {
         "cache_read_input_token_cost": 1.25e-07,
         "cache_read_input_token_cost_flex": 6.25e-08,
@@ -16633,6 +16635,42 @@
         "supports_function_calling": true,
         "supports_response_schema": false
     },
+    "oci/cohere.command-latest": {
+        "input_cost_per_token": 1.56e-06,
+        "litellm_provider": "oci",
+        "max_input_tokens": 128000,
+        "max_output_tokens": 4000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 1.56e-06,
+        "source": "https://www.oracle.com/cloud/ai/generative-ai/pricing/",
+        "supports_function_calling": true,
+        "supports_response_schema": false
+    },
+    "oci/cohere.command-a-03-2025": {
+        "input_cost_per_token": 1.56e-06,
+        "litellm_provider": "oci",
+        "max_input_tokens": 256000,
+        "max_output_tokens": 4000,
+        "max_tokens": 256000,
+        "mode": "chat",
+        "output_cost_per_token": 1.56e-06,
+        "source": "https://www.oracle.com/cloud/ai/generative-ai/pricing/",
+        "supports_function_calling": true,
+        "supports_response_schema": false
+    },
+    "oci/cohere.command-plus-latest": {
+        "input_cost_per_token": 1.56e-06,
+        "litellm_provider": "oci",
+        "max_input_tokens": 128000,
+        "max_output_tokens": 4000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 1.56e-06,
+        "source": "https://www.oracle.com/cloud/ai/generative-ai/pricing/",
+        "supports_function_calling": true,
+        "supports_response_schema": false
+    },
     "ollama/codegeex4": {
         "input_cost_per_token": 0.0,
         "litellm_provider": "ollama",
@@ -19644,6 +19682,22 @@
         "mode": "embedding",
         "output_cost_per_token": 0.0
     },
+    "together_ai/baai/bge-base-en-v1.5": {
+        "input_cost_per_token": 8e-09,
+        "litellm_provider": "together_ai",
+        "max_input_tokens": 512,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 768
+    },
+    "together_ai/BAAI/bge-base-en-v1.5": {
+        "input_cost_per_token": 8e-09,
+        "litellm_provider": "together_ai",
+        "max_input_tokens": 512,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 768
+    },
     "together-ai-up-to-4b": {
         "input_cost_per_token": 1e-07,
         "litellm_provider": "together_ai",
diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
index 37a1038509..28581c778c 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py
@@ -1380,6 +1380,7 @@ class MCPServerManager:
         if not server:
             return {
                 "server_id": server_id,
+                "server_name": None,
                 "status": "unknown",
                 "error": "Server not found",
                 "last_health_check": datetime.now().isoformat(),
@@ -1394,6 +1395,7 @@ class MCPServerManager:
 
             return {
                 "server_id": server_id,
+                "server_name": server.name,
                 "status": "healthy",
                 "tools_count": len(tools),
                 "last_health_check": datetime.now().isoformat(),
@@ -1406,6 +1408,7 @@ class MCPServerManager:
 
             return {
                 "server_id": server_id,
+                "server_name": server.name,
                 "status": "unhealthy",
                 "last_health_check": datetime.now().isoformat(),
                 "response_time_ms": round(response_time, 2),
diff --git a/litellm/proxy/_experimental/mcp_server/tool_registry.py b/litellm/proxy/_experimental/mcp_server/tool_registry.py
index bc69095fc4..58570aafad 100644
--- a/litellm/proxy/_experimental/mcp_server/tool_registry.py
+++ b/litellm/proxy/_experimental/mcp_server/tool_registry.py
@@ -1,12 +1,18 @@
 import json
-from typing import Any, Callable, Dict, List, Optional
-
-from mcp.types import Tool as MCPToolSDKTool
+from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional
 
 from litellm._logging import verbose_logger
 from litellm.proxy.types_utils.utils import get_instance_fn
 from litellm.types.mcp_server.tool_registry import MCPTool
 
+if TYPE_CHECKING:
+    from mcp.types import Tool as MCPToolSDKTool
+else:
+    try:
+        from mcp.types import Tool as MCPToolSDKTool
+    except ImportError:
+        MCPToolSDKTool = None  # type: ignore
+
 
 class MCPToolRegistry:
     """
@@ -55,7 +61,11 @@ class MCPToolRegistry:
 
     def convert_tools_to_mcp_sdk_tool_type(
         self, tools: List[MCPTool]
-    ) -> List[MCPToolSDKTool]:
+    ) -> List["MCPToolSDKTool"]:
+        if MCPToolSDKTool is None:
+            raise ImportError(
+                "MCP SDK is not installed. Please install it with: pip install 'litellm[proxy]'"
+            )
         return [
             MCPToolSDKTool(
                 name=tool.name,
diff --git a/litellm/proxy/_experimental/out/_next/static/rUJALQkuIpGgNwKsXlWEH/_buildManifest.js b/litellm/proxy/_experimental/out/_next/static/ZAqshlHWdpwZy_2QG1xUf/_buildManifest.js
similarity index 100%
rename from litellm/proxy/_experimental/out/_next/static/rUJALQkuIpGgNwKsXlWEH/_buildManifest.js
rename to litellm/proxy/_experimental/out/_next/static/ZAqshlHWdpwZy_2QG1xUf/_buildManifest.js
diff --git a/litellm/proxy/_experimental/out/_next/static/rUJALQkuIpGgNwKsXlWEH/_ssgManifest.js b/litellm/proxy/_experimental/out/_next/static/ZAqshlHWdpwZy_2QG1xUf/_ssgManifest.js
similarity index 100%
rename from litellm/proxy/_experimental/out/_next/static/rUJALQkuIpGgNwKsXlWEH/_ssgManifest.js
rename to litellm/proxy/_experimental/out/_next/static/ZAqshlHWdpwZy_2QG1xUf/_ssgManifest.js
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/1052-80a465c977e6b146.js b/litellm/proxy/_experimental/out/_next/static/chunks/1052-6c4e848aed27b319.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/1052-80a465c977e6b146.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/1052-6c4e848aed27b319.js
index d760fa17b6..8ab8f6ab8a 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/1052-80a465c977e6b146.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/1052-6c4e848aed27b319.js
@@ -1 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/1487-ada9ecf7dd9bca97.js b/litellm/proxy/_experimental/out/_next/static/chunks/1487-2f4bad651391939b.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/1487-ada9ecf7dd9bca97.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/1487-2f4bad651391939b.js
index dddce2ff9a..eee3c8a3eb 100644
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+++ b/litellm/proxy/_experimental/out/_next/static/chunks/1487-2f4bad651391939b.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/1039-1031e149b66e294d.js b/litellm/proxy/_experimental/out/_next/static/chunks/1853-fa2eb7102429db88.js
similarity index 62%
rename from litellm/proxy/_experimental/out/_next/static/chunks/1039-1031e149b66e294d.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/1853-fa2eb7102429db88.js
index 74c9c3d33c..bf9673fcf7 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/1039-1031e149b66e294d.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/1853-fa2eb7102429db88.js
@@ -1 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/2004-946c4fd2a52c86d0.js b/litellm/proxy/_experimental/out/_next/static/chunks/2004-c79b8e81e01004c3.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/2004-946c4fd2a52c86d0.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/2004-c79b8e81e01004c3.js
index d0082a9138..04681f973b 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/2004-946c4fd2a52c86d0.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/2004-c79b8e81e01004c3.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/2019-d4e12fe6a3ca4e25.js b/litellm/proxy/_experimental/out/_next/static/chunks/2019-f91b853dc598350e.js
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rename from litellm/proxy/_experimental/out/_next/static/chunks/2019-d4e12fe6a3ca4e25.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/2019-f91b853dc598350e.js
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/2162-70a154301fc81d42.js b/litellm/proxy/_experimental/out/_next/static/chunks/2162-70a154301fc81d42.js
new file mode 100644
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+"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[2162],{36724:function(e,t,n){n.d(t,{Dx:function(){return i.Z},Zb:function(){return r.Z},xv:function(){return s.Z},zx:function(){return a.Z}});var a=n(20831),r=n(12514),s=n(84264),i=n(96761)},19130:function(e,t,n){n.d(t,{RM:function(){return r.Z},SC:function(){return l.Z},iA:function(){return a.Z},pj:function(){return s.Z},ss:function(){return i.Z},xs:function(){return o.Z}});var a=n(21626),r=n(97214),s=n(28241),i=n(58834),o=n(69552),l=n(71876)},88658:function(e,t,n){n.d(t,{L:function(){return r}});var a=n(49817);let r=e=>{let t;let{apiKeySource:n,accessToken:r,apiKey:s,inputMessage:i,chatHistory:o,selectedTags:l,selectedVectorStores:c,selectedGuardrails:d,selectedMCPTools:m,endpointType:p,selectedModel:u,selectedSdk:g}=e,x="session"===n?r:s,h=window.location.origin,f=i||"Your prompt here",_=f.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),b=o.filter(e=>!e.isImage).map(e=>{let{role:t,content:n}=e;return{role:t,content:n}}),v={};l.length>0&&(v.tags=l),c.length>0&&(v.vector_stores=c),d.length>0&&(v.guardrails=d);let j=u||"your-model-name",y="azure"===g?'import openai\n\nclient = openai.AzureOpenAI(\n	api_key="'.concat(x||"YOUR_LITELLM_API_KEY",'",\n	azure_endpoint="').concat(h,'",\n	api_version="2024-02-01"\n)'):'import openai\n\nclient = openai.OpenAI(\n	api_key="'.concat(x||"YOUR_LITELLM_API_KEY",'",\n	base_url="').concat(h,'"\n)');switch(p){case a.KP.CHAT:{let e=Object.keys(v).length>0,n="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();n=",\n    extra_body=".concat(e)}let a=b.length>0?b:[{role:"user",content:f}];t='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.chat.completions.create(\n    model="'.concat(j,'",\n    messages=').concat(JSON.stringify(a,null,4)).concat(n,'\n)\n\nprint(response)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.chat.completions.create(\n#     model="').concat(j,'",\n#     messages=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {\n#                     "type": "text",\n#                     "text": "').concat(_,'"\n#                 },\n#                 {\n#                     "type": "image_url",\n#                     "image_url": {\n#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}\n#                     }\n#                 }\n#             ]\n#         }\n#     ]').concat(n,"\n# )\n# print(response_with_file)\n");break}case a.KP.RESPONSES:{let e=Object.keys(v).length>0,n="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();n=",\n    extra_body=".concat(e)}let a=b.length>0?b:[{role:"user",content:f}];t='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.responses.create(\n    model="'.concat(j,'",\n    input=').concat(JSON.stringify(a,null,4)).concat(n,'\n)\n\nprint(response.output_text)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.responses.create(\n#     model="').concat(j,'",\n#     input=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {"type": "input_text", "text": "').concat(_,'"},\n#                 {\n#                     "type": "input_image",\n#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}\n#                 },\n#             ],\n#         }\n#     ]').concat(n,"\n# )\n# print(response_with_file.output_text)\n");break}case a.KP.IMAGE:t="azure"===g?"\n# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.\n# This snippet uses 'client.images.generate' and will create a new image based on your prompt.\n# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.\nimport os\nimport requests\nimport json\nimport time\nfrom PIL import Image\n\nresult = client.images.generate(\n	model=\"".concat(j,'",\n	prompt="').concat(i,'",\n	n=1\n)\n\njson_response = json.loads(result.model_dump_json())\n\n# Set the directory for the stored image\nimage_dir = os.path.join(os.curdir, \'images\')\n\n# If the directory doesn\'t exist, create it\nif not os.path.isdir(image_dir):\n	os.mkdir(image_dir)\n\n# Initialize the image path\nimage_filename = f"generated_image_{int(time.time())}.png"\nimage_path = os.path.join(image_dir, image_filename)\n\ntry:\n	# Retrieve the generated image\n	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):\n			image_url = json_response["data"][0]["url"]\n			generated_image = requests.get(image_url).content\n			with open(image_path, "wb") as image_file:\n					image_file.write(generated_image)\n\n			print(f"Image saved to {image_path}")\n			# Display the image\n			image = Image.open(image_path)\n			image.show()\n	else:\n			print("Could not find image URL in response.")\n			print("Full response:", json_response)\nexcept Exception as e:\n	print(f"An error occurred: {e}")\n	print("Full response:", json_response)\n'):"\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(_,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(j,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;case a.KP.IMAGE_EDITS:t="azure"===g?'\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, "rb") as image_file:\n			return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# The prompt entered by the user\nprompt = "'.concat(_,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(j,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n'):"\nimport base64\nimport os\nimport time\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(_,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(j,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;default:t="\n# Code generation for this endpoint is not implemented yet."}return"".concat(y,"\n").concat(t)}},49817:function(e,t,n){var a,r,s,i;n.d(t,{KP:function(){return r},vf:function(){return l}}),(s=a||(a={})).IMAGE_GENERATION="image_generation",s.CHAT="chat",s.RESPONSES="responses",s.IMAGE_EDITS="image_edits",s.ANTHROPIC_MESSAGES="anthropic_messages",(i=r||(r={})).IMAGE="image",i.CHAT="chat",i.RESPONSES="responses",i.IMAGE_EDITS="image_edits",i.ANTHROPIC_MESSAGES="anthropic_messages";let o={image_generation:"image",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages"},l=e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let t=o[e];return console.log("endpointType:",t),t}return"chat"}},29488:function(e,t,n){n.d(t,{Hc:function(){return 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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/2162-947823f263cd4e0b.js b/litellm/proxy/_experimental/out/_next/static/chunks/2162-947823f263cd4e0b.js
deleted file mode 100644
index 9efa117d77..0000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/2162-947823f263cd4e0b.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[2162],{36724:function(e,t,n){n.d(t,{Dx:function(){return i.Z},Zb:function(){return r.Z},xv:function(){return s.Z},zx:function(){return a.Z}});var a=n(20831),r=n(12514),s=n(84264),i=n(96761)},19130:function(e,t,n){n.d(t,{RM:function(){return r.Z},SC:function(){return l.Z},iA:function(){return a.Z},pj:function(){return s.Z},ss:function(){return i.Z},xs:function(){return o.Z}});var a=n(21626),r=n(97214),s=n(28241),i=n(58834),o=n(69552),l=n(71876)},88658:function(e,t,n){n.d(t,{L:function(){return r}});var a=n(49817);let r=e=>{let t;let{apiKeySource:n,accessToken:r,apiKey:s,inputMessage:i,chatHistory:o,selectedTags:l,selectedVectorStores:c,selectedGuardrails:d,selectedMCPTools:m,endpointType:p,selectedModel:u,selectedSdk:g}=e,x="session"===n?r:s,h=window.location.origin,f=i||"Your prompt here",_=f.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),b=o.filter(e=>!e.isImage).map(e=>{let{role:t,content:n}=e;return{role:t,content:n}}),v={};l.length>0&&(v.tags=l),c.length>0&&(v.vector_stores=c),d.length>0&&(v.guardrails=d);let j=u||"your-model-name",y="azure"===g?'import openai\n\nclient = openai.AzureOpenAI(\n	api_key="'.concat(x||"YOUR_LITELLM_API_KEY",'",\n	azure_endpoint="').concat(h,'",\n	api_version="2024-02-01"\n)'):'import openai\n\nclient = openai.OpenAI(\n	api_key="'.concat(x||"YOUR_LITELLM_API_KEY",'",\n	base_url="').concat(h,'"\n)');switch(p){case a.KP.CHAT:{let e=Object.keys(v).length>0,n="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();n=",\n    extra_body=".concat(e)}let a=b.length>0?b:[{role:"user",content:f}];t='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.chat.completions.create(\n    model="'.concat(j,'",\n    messages=').concat(JSON.stringify(a,null,4)).concat(n,'\n)\n\nprint(response)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.chat.completions.create(\n#     model="').concat(j,'",\n#     messages=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {\n#                     "type": "text",\n#                     "text": "').concat(_,'"\n#                 },\n#                 {\n#                     "type": "image_url",\n#                     "image_url": {\n#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}\n#                     }\n#                 }\n#             ]\n#         }\n#     ]').concat(n,"\n# )\n# print(response_with_file)\n");break}case a.KP.RESPONSES:{let e=Object.keys(v).length>0,n="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();n=",\n    extra_body=".concat(e)}let a=b.length>0?b:[{role:"user",content:f}];t='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.responses.create(\n    model="'.concat(j,'",\n    input=').concat(JSON.stringify(a,null,4)).concat(n,'\n)\n\nprint(response.output_text)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.responses.create(\n#     model="').concat(j,'",\n#     input=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {"type": "input_text", "text": "').concat(_,'"},\n#                 {\n#                     "type": "input_image",\n#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}\n#                 },\n#             ],\n#         }\n#     ]').concat(n,"\n# )\n# print(response_with_file.output_text)\n");break}case a.KP.IMAGE:t="azure"===g?"\n# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.\n# This snippet uses 'client.images.generate' and will create a new image based on your prompt.\n# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.\nimport os\nimport requests\nimport json\nimport time\nfrom PIL import Image\n\nresult = client.images.generate(\n	model=\"".concat(j,'",\n	prompt="').concat(i,'",\n	n=1\n)\n\njson_response = json.loads(result.model_dump_json())\n\n# Set the directory for the stored image\nimage_dir = os.path.join(os.curdir, \'images\')\n\n# If the directory doesn\'t exist, create it\nif not os.path.isdir(image_dir):\n	os.mkdir(image_dir)\n\n# Initialize the image path\nimage_filename = f"generated_image_{int(time.time())}.png"\nimage_path = os.path.join(image_dir, image_filename)\n\ntry:\n	# Retrieve the generated image\n	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):\n			image_url = json_response["data"][0]["url"]\n			generated_image = requests.get(image_url).content\n			with open(image_path, "wb") as image_file:\n					image_file.write(generated_image)\n\n			print(f"Image saved to {image_path}")\n			# Display the image\n			image = Image.open(image_path)\n			image.show()\n	else:\n			print("Could not find image URL in response.")\n			print("Full response:", json_response)\nexcept Exception as e:\n	print(f"An error occurred: {e}")\n	print("Full response:", json_response)\n'):"\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(_,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(j,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;case a.KP.IMAGE_EDITS:t="azure"===g?'\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, "rb") as image_file:\n			return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# The prompt entered by the user\nprompt = "'.concat(_,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(j,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n'):"\nimport base64\nimport os\nimport time\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(_,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(j,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. 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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/2202-563a3700a73a4a11.js b/litellm/proxy/_experimental/out/_next/static/chunks/2202-4dc143426a4c8ea3.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/2202-563a3700a73a4a11.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/2202-4dc143426a4c8ea3.js
index 360c52e29c..454e797db5 100644
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+++ b/litellm/proxy/_experimental/out/_next/static/chunks/2202-4dc143426a4c8ea3.js
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0!==t.activeTooltipIndex){var u=t.chartX,l=t.chartY,s=t.activeTooltipIndex,f=c.state,p=f.offset,h=f.tooltipTicks;if(!p)return;if("function"==typeof r)s=r(h,t);else if("value"===r){s=-1;for(var d=0;d<h.length;d++)if(h[d].value===t.activeLabel){s=d;break}}var y=ee(ee({},p),{},{x:p.left,y:p.top}),v=Math.min(u,y.x+y.width),m=Math.min(l,y.y+y.height),g=h[s]&&h[s].value,b=ef(c.state,c.props.data,s),x=h[s]?{x:"horizontal"===n?h[s].coordinate:v,y:"horizontal"===n?m:h[s].coordinate}:ea;c.setState(ee(ee({},t),{},{activeLabel:g,activeCoordinate:x,activePayload:b,activeTooltipIndex:s}))}else c.setState(t)}),en(t3(c),"renderCursor",function(t){var e,o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,u=o.activePayload,l=o.offset,s=o.activeTooltipIndex,f=o.tooltipAxisBandSize,p=c.getTooltipEventType(),h=null!==(e=t.props.active)&&void 0!==e?e:i,d=c.props.layout,y=t.key||"_recharts-cursor";return r.createElement(tK,{key:y,activeCoordinate:a,activePayload:u,activeTooltipIndex:s,chartName:n,element:t,isActive:h,layout:d,offset:l,tooltipAxisBandSize:f,tooltipEventType:p})}),en(t3(c),"renderPolarAxis",function(t,e,n){var o=f()(t,"type.axisType"),i=f()(c.state,"".concat(o,"Map")),a=i&&i[t.props["".concat(o,"Id")]];return(0,r.cloneElement)(t,ee(ee({},a),{},{className:o,key:t.key||"".concat(e,"-").concat(n),ticks:(0,T.uY)(a,!0)}))}),en(t3(c),"renderGrid",function(t){var e=c.state,n=e.xAxisMap,o=e.yAxisMap,i=e.offset,a=(0,C.Kt)(n),u=m()(o,function(t){return b()(t.domain,Number.isFinite)})||(0,C.Kt)(o),l=t.props||{};return(0,r.cloneElement)(t,{key:t.key||"grid",x:(0,C.hj)(l.x)?l.x:i.left,y:(0,C.hj)(l.y)?l.y:i.top,width:(0,C.hj)(l.width)?l.width:i.width,height:(0,C.hj)(l.height)?l.height:i.height,xAxis:a,yAxis:u,verticalCoordinatesGenerator:l.verticalCoordinatesGenerator,horizontalCoordinatesGenerator:l.horizontalCoordinatesGenerator})}),en(t3(c),"renderPolarGrid",function(t){var e=t.props,n=e.radialLines,o=e.polarAngles,i=e.polarRadius,a=c.state,u=a.radiusAxisMap,l=a.angleAxisMap,s=(0,C.Kt)(u),f=(0,C.Kt)(l),p=f.cx,h=f.cy,d=f.innerRadius,y=f.outerRadius;return(0,r.cloneElement)(t,{polarAngles:Array.isArray(o)?o:(0,T.uY)(f,!0).map(function(t){return t.coordinate}),polarRadius:Array.isArray(i)?i:(0,T.uY)(s,!0).map(function(t){return t.coordinate}),cx:p,cy:h,innerRadius:d,outerRadius:y,key:t.key||"polar-grid",radialLines:n})}),en(t3(c),"renderLegend",function(){var t=c.state.formattedGraphicalItems,e=c.props,n=e.children,o=e.width,i=e.height,a=c.props.margin||{},u=o-(a.left||0)-(a.right||0),l=(0,Q.z)({children:n,formattedGraphicalItems:t,legendWidth:u,legendContent:h});if(!l)return null;var s=l.item,f=t5(l,tJ);return(0,r.cloneElement)(s,ee(ee({},f),{},{chartWidth:o,chartHeight:i,margin:a,onBBoxUpdate:c.handleLegendBBoxUpdate}))}),en(t3(c),"renderTooltip",function(){var t,e=c.props.children,n=(0,A.sP)(e,S.u);if(!n)return null;var o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,u=o.activePayload,l=o.activeLabel,s=o.offset,f=null!==(t=n.props.active)&&void 0!==t?t:i;return(0,r.cloneElement)(n,{viewBox:ee(ee({},s),{},{x:s.left,y:s.top}),active:f,label:l,payload:f?u:[],coordinate:a})}),en(t3(c),"renderBrush",function(t){var e=c.props,n=e.margin,o=e.data,i=c.state,a=i.offset,u=i.dataStartIndex,l=i.dataEndIndex,s=i.updateId;return(0,r.cloneElement)(t,{key:t.key||"_recharts-brush",onChange:(0,T.DO)(c.handleBrushChange,t.props.onChange),data:o,x:(0,C.hj)(t.props.x)?t.props.x:a.left,y:(0,C.hj)(t.props.y)?t.props.y:a.top+a.height+a.brushBottom-(n.bottom||0),width:(0,C.hj)(t.props.width)?t.props.width:a.width,startIndex:u,endIndex:l,updateId:"brush-".concat(s)})}),en(t3(c),"renderReferenceElement",function(t,e,n){if(!t)return null;var o=t3(c).clipPathId,i=c.state,a=i.xAxisMap,u=i.yAxisMap,l=i.offset,s=t.props,f=s.xAxisId,p=s.yAxisId;return(0,r.cloneElement)(t,{key:t.key||"".concat(e,"-").concat(n),xAxis:a[f],yAxis:u[p],viewBox:{x:l.left,y:l.top,width:l.width,height:l.height},clipPathId:o})}),en(t3(c),"renderActivePoints",function(t){var e=t.item,n=t.activePoint,r=t.basePoint,o=t.childIndex,i=t.isRange,a=[],u=e.props.key,c=e.item.props,s=c.activeDot,f=ee(ee({index:o,dataKey:c.dataKey,cx:n.x,cy:n.y,r:4,fill:(0,T.fk)(e.item),strokeWidth:2,stroke:"#fff",payload:n.payload,value:n.value,key:"".concat(u,"-activePoint-").concat(o)},(0,A.L6)(s,!1)),(0,tD.Ym)(s));return a.push(l.renderActiveDot(s,f)),r?a.push(l.renderActiveDot(s,ee(ee({},f),{},{cx:r.x,cy:r.y,key:"".concat(u,"-basePoint-").concat(o)}))):i&&a.push(null),a}),en(t3(c),"renderGraphicChild",function(t,e,n){var o=c.filterFormatItem(t,e,n);if(!o)return null;var a=c.getTooltipEventType(),u=c.state,l=u.isTooltipActive,s=u.tooltipAxis,f=u.activeTooltipIndex,p=u.activeLabel,h=c.props.children,d=(0,A.sP)(h,S.u),y=o.props,v=y.points,m=y.isRange,g=y.baseLine,b=o.item.props,x=b.activeDot,O=b.hide,w=b.activeBar,j=b.activeShape,E={};"axis"!==a&&d&&"click"===d.props.trigger?E={onClick:(0,T.DO)(c.handleItemMouseEnter,t.props.onClick)}:"axis"!==a&&(E={onMouseLeave:(0,T.DO)(c.handleItemMouseLeave,t.props.onMouseLeave),onMouseEnter:(0,T.DO)(c.handleItemMouseEnter,t.props.onMouseEnter)});var k=(0,r.cloneElement)(t,ee(ee({},o.props),E));if(!O&&l&&d&&(x||w||j)){if(f>=0){if(s.dataKey&&!s.allowDuplicatedCategory){var P="function"==typeof s.dataKey?function(t){return"function"==typeof s.dataKey?s.dataKey(t.payload):null}:"payload.".concat(s.dataKey.toString());_=(0,C.Ap)(v,P,p),N=m&&g&&(0,C.Ap)(g,P,p)}else _=null==v?void 0:v[f],N=m&&g&&g[f];if(j||w){var M=void 0!==t.props.activeIndex?t.props.activeIndex:f;return[(0,r.cloneElement)(t,ee(ee(ee({},o.props),E),{},{activeIndex:M})),null,null]}if(!i()(_))return[k].concat(t8(c.renderActivePoints({item:o,activePoint:_,basePoint:N,childIndex:f,isRange:m})))}else{var _,N,D,I=(null!==(D=c.getItemByXY(c.state.activeCoordinate))&&void 0!==D?D:{graphicalItem:k}).graphicalItem,L=I.item,B=void 0===L?t:L,R=I.childIndex,z=ee(ee(ee({},o.props),E),{},{activeIndex:R});return[(0,r.cloneElement)(B,z),null,null]}}return m?[k,null,null]:[k,null]}),en(t3(c),"renderCustomized",function(t,e,n){return(0,r.cloneElement)(t,ee(ee({key:"recharts-customized-".concat(n)},c.props),c.state))}),en(t3(c),"renderMap",{CartesianGrid:{handler:c.renderGrid,once:!0},ReferenceArea:{handler:c.renderReferenceElement},ReferenceLine:{handler:eu},ReferenceDot:{handler:c.renderReferenceElement},XAxis:{handler:eu},YAxis:{handler:eu},Brush:{handler:c.renderBrush,once:!0},Bar:{handler:c.renderGraphicChild},Line:{handler:c.renderGraphicChild},Area:{handler:c.renderGraphicChild},Radar:{handler:c.renderGraphicChild},RadialBar:{handler:c.renderGraphicChild},Scatter:{handler:c.renderGraphicChild},Pie:{handler:c.renderGraphicChild},Funnel:{handler:c.renderGraphicChild},Tooltip:{handler:c.renderCursor,once:!0},PolarGrid:{handler:c.renderPolarGrid,once:!0},PolarAngleAxis:{handler:c.renderPolarAxis},PolarRadiusAxis:{handler:c.renderPolarAxis},Customized:{handler:c.renderCustomized}}),c.clipPathId="".concat(null!==(e=t.id)&&void 0!==e?e:(0,C.EL)("recharts"),"-clip"),c.throttleTriggeredAfterMouseMove=y()(c.triggeredAfterMouseMove,null!==(o=t.throttleDelay)&&void 0!==o?o:1e3/60),c.state={},c}return o=[{key:"componentDidMount",value:function(){var t,e;this.addListener(),this.accessibilityManager.setDetails({container:this.container,offset:{left:null!==(t=this.props.margin.left)&&void 0!==t?t:0,top:null!==(e=this.props.margin.top)&&void 0!==e?e:0},coordinateList:this.state.tooltipTicks,mouseHandlerCallback:this.triggeredAfterMouseMove,layout:this.props.layout}),this.displayDefaultTooltip()}},{key:"displayDefaultTooltip",value:function(){var t=this.props,e=t.children,n=t.data,r=t.height,o=t.layout,i=(0,A.sP)(e,S.u);if(i){var a=i.props.defaultIndex;if("number"==typeof a&&!(a<0)&&!(a>this.state.tooltipTicks.length)){var u=this.state.tooltipTicks[a]&&this.state.tooltipTicks[a].value,c=ef(this.state,n,a,u),l=this.state.tooltipTicks[a].coordinate,s=(this.state.offset.top+r)/2,f="horizontal"===o?{x:l,y:s}:{y:l,x:s},p=this.state.formattedGraphicalItems.find(function(t){return"Scatter"===t.item.type.name});p&&(f=ee(ee({},f),p.props.points[a].tooltipPosition),c=p.props.points[a].tooltipPayload);var h={activeTooltipIndex:a,isTooltipActive:!0,activeLabel:u,activePayload:c,activeCoordinate:f};this.setState(h),this.renderCursor(i),this.accessibilityManager.setIndex(a)}}}},{key:"getSnapshotBeforeUpdate",value:function(t,e){if(!this.props.accessibilityLayer)return null;if(this.state.tooltipTicks!==e.tooltipTicks&&this.accessibilityManager.setDetails({coordinateList:this.state.tooltipTicks}),this.props.layout!==t.layout&&this.accessibilityManager.setDetails({layout:this.props.layout}),this.props.margin!==t.margin){var n,r;this.accessibilityManager.setDetails({offset:{left:null!==(n=this.props.margin.left)&&void 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s=(0,C.Kt)(c).scale,f=(0,C.Kt)(l).scale,p=s&&s.invert?s.invert(o.chartX):null,h=f&&f.invert?f.invert(o.chartY):null;return ee(ee({},o),{},{xValue:p,yValue:h})}var d=ep(this.state,this.props.data,this.props.layout,a);return d?ee(ee({},o),d):null}},{key:"inRange",value:function(t,e){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=this.props.layout,o=t/n,i=e/n;if("horizontal"===r||"vertical"===r){var a=this.state.offset;return o>=a.left&&o<=a.left+a.width&&i>=a.top&&i<=a.top+a.height?{x:o,y:i}:null}var u=this.state,c=u.angleAxisMap,l=u.radiusAxisMap;if(c&&l){var s=(0,C.Kt)(c);return(0,tM.z3)({x:o,y:i},s)}return null}},{key:"parseEventsOfWrapper",value:function(){var t=this.props.children,e=this.getTooltipEventType(),n=(0,A.sP)(t,S.u),r={};return n&&"axis"===e&&(r="click"===n.props.trigger?{onClick:this.handleClick}:{onMouseEnter:this.handleMouseEnter,onMouseMove:this.handleMouseMove,onMouseLeave:this.handleMouseLeave,onTouchMove:this.handleTouchMove,onTouchStart:this.handleTouchStart,onTouchEnd:this.handleTouchEnd}),ee(ee({},(0,tD.Ym)(this.props,this.handleOuterEvent)),r)}},{key:"addListener",value:function(){tC.on(tN,this.handleReceiveSyncEvent)}},{key:"removeListener",value:function(){tC.removeListener(tN,this.handleReceiveSyncEvent)}},{key:"filterFormatItem",value:function(t,e,n){for(var r=this.state.formattedGraphicalItems,o=0,i=r.length;o<i;o++){var a=r[o];if(a.item===t||a.props.key===t.key||e===(0,A.Gf)(a.item.type)&&n===a.childIndex)return a}return null}},{key:"renderClipPath",value:function(){var t=this.clipPathId,e=this.state.offset,n=e.left,o=e.top,i=e.height,a=e.width;return r.createElement("defs",null,r.createElement("clipPath",{id:t},r.createElement("rect",{x:n,y:o,height:i,width:a})))}},{key:"getXScales",value:function(){var t=this.state.xAxisMap;return t?Object.entries(t).reduce(function(t,e){var n=t2(e,2),r=n[0],o=n[1];return ee(ee({},t),{},en({},r,o.scale))},{}):null}},{key:"getYScales",value:function(){var t=this.state.yAxisMap;return t?Object.entries(t).reduce(function(t,e){var n=t2(e,2),r=n[0],o=n[1];return ee(ee({},t),{},en({},r,o.scale))},{}):null}},{key:"getXScaleByAxisId",value:function(t){var e;return null===(e=this.state.xAxisMap)||void 0===e||null===(e=e[t])||void 0===e?void 0:e.scale}},{key:"getYScaleByAxisId",value:function(t){var e;return null===(e=this.state.yAxisMap)||void 0===e||null===(e=e[t])||void 0===e?void 0:e.scale}},{key:"getItemByXY",value:function(t){var e=this.state,n=e.formattedGraphicalItems,r=e.activeItem;if(n&&n.length)for(var o=0,i=n.length;o<i;o++){var a=n[o],u=a.props,c=a.item,l=(0,A.Gf)(c.type);if("Bar"===l){var 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0!==t.activeTooltipIndex){var u=t.chartX,l=t.chartY,s=t.activeTooltipIndex,f=c.state,p=f.offset,h=f.tooltipTicks;if(!p)return;if("function"==typeof r)s=r(h,t);else if("value"===r){s=-1;for(var d=0;d<h.length;d++)if(h[d].value===t.activeLabel){s=d;break}}var y=ee(ee({},p),{},{x:p.left,y:p.top}),v=Math.min(u,y.x+y.width),m=Math.min(l,y.y+y.height),g=h[s]&&h[s].value,b=ef(c.state,c.props.data,s),x=h[s]?{x:"horizontal"===n?h[s].coordinate:v,y:"horizontal"===n?m:h[s].coordinate}:ea;c.setState(ee(ee({},t),{},{activeLabel:g,activeCoordinate:x,activePayload:b,activeTooltipIndex:s}))}else c.setState(t)}),en(t3(c),"renderCursor",function(t){var e,o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,u=o.activePayload,l=o.offset,s=o.activeTooltipIndex,f=o.tooltipAxisBandSize,p=c.getTooltipEventType(),h=null!==(e=t.props.active)&&void 0!==e?e:i,d=c.props.layout,y=t.key||"_recharts-cursor";return r.createElement(tK,{key:y,activeCoordinate:a,activePayload:u,activeTooltipIndex:s,chartName:n,element:t,isActive:h,layout:d,offset:l,tooltipAxisBandSize:f,tooltipEventType:p})}),en(t3(c),"renderPolarAxis",function(t,e,n){var o=f()(t,"type.axisType"),i=f()(c.state,"".concat(o,"Map")),a=i&&i[t.props["".concat(o,"Id")]];return(0,r.cloneElement)(t,ee(ee({},a),{},{className:o,key:t.key||"".concat(e,"-").concat(n),ticks:(0,T.uY)(a,!0)}))}),en(t3(c),"renderGrid",function(t){var e=c.state,n=e.xAxisMap,o=e.yAxisMap,i=e.offset,a=(0,C.Kt)(n),u=m()(o,function(t){return b()(t.domain,Number.isFinite)})||(0,C.Kt)(o),l=t.props||{};return(0,r.cloneElement)(t,{key:t.key||"grid",x:(0,C.hj)(l.x)?l.x:i.left,y:(0,C.hj)(l.y)?l.y:i.top,width:(0,C.hj)(l.width)?l.width:i.width,height:(0,C.hj)(l.height)?l.height:i.height,xAxis:a,yAxis:u,verticalCoordinatesGenerator:l.verticalCoordinatesGenerator,horizontalCoordinatesGenerator:l.horizontalCoordinatesGenerator})}),en(t3(c),"renderPolarGrid",function(t){var e=t.props,n=e.radialLines,o=e.polarAngles,i=e.polarRadius,a=c.state,u=a.radiusAxisMap,l=a.angleAxisMap,s=(0,C.Kt)(u),f=(0,C.Kt)(l),p=f.cx,h=f.cy,d=f.innerRadius,y=f.outerRadius;return(0,r.cloneElement)(t,{polarAngles:Array.isArray(o)?o:(0,T.uY)(f,!0).map(function(t){return t.coordinate}),polarRadius:Array.isArray(i)?i:(0,T.uY)(s,!0).map(function(t){return t.coordinate}),cx:p,cy:h,innerRadius:d,outerRadius:y,key:t.key||"polar-grid",radialLines:n})}),en(t3(c),"renderLegend",function(){var t=c.state.formattedGraphicalItems,e=c.props,n=e.children,o=e.width,i=e.height,a=c.props.margin||{},u=o-(a.left||0)-(a.right||0),l=(0,Q.z)({children:n,formattedGraphicalItems:t,legendWidth:u,legendContent:h});if(!l)return null;var s=l.item,f=t5(l,tJ);return(0,r.cloneElement)(s,ee(ee({},f),{},{chartWidth:o,chartHeight:i,margin:a,onBBoxUpdate:c.handleLegendBBoxUpdate}))}),en(t3(c),"renderTooltip",function(){var t,e=c.props.children,n=(0,A.sP)(e,S.u);if(!n)return null;var o=c.state,i=o.isTooltipActive,a=o.activeCoordinate,u=o.activePayload,l=o.activeLabel,s=o.offset,f=null!==(t=n.props.active)&&void 0!==t?t:i;return(0,r.cloneElement)(n,{viewBox:ee(ee({},s),{},{x:s.left,y:s.top}),active:f,label:l,payload:f?u:[],coordinate:a})}),en(t3(c),"renderBrush",function(t){var e=c.props,n=e.margin,o=e.data,i=c.state,a=i.offset,u=i.dataStartIndex,l=i.dataEndIndex,s=i.updateId;return(0,r.cloneElement)(t,{key:t.key||"_recharts-brush",onChange:(0,T.DO)(c.handleBrushChange,t.props.onChange),data:o,x:(0,C.hj)(t.props.x)?t.props.x:a.left,y:(0,C.hj)(t.props.y)?t.props.y:a.top+a.height+a.brushBottom-(n.bottom||0),width:(0,C.hj)(t.props.width)?t.props.width:a.width,startIndex:u,endIndex:l,updateId:"brush-".concat(s)})}),en(t3(c),"renderReferenceElement",function(t,e,n){if(!t)return null;var o=t3(c).clipPathId,i=c.state,a=i.xAxisMap,u=i.yAxisMap,l=i.offset,s=t.props,f=s.xAxisId,p=s.yAxisId;return(0,r.cloneElement)(t,{key:t.key||"".concat(e,"-").concat(n),xAxis:a[f],yAxis:u[p],viewBox:{x:l.left,y:l.top,width:l.width,height:l.height},clipPathId:o})}),en(t3(c),"renderActivePoints",function(t){var e=t.item,n=t.activePoint,r=t.basePoint,o=t.childIndex,i=t.isRange,a=[],u=e.props.key,c=e.item.props,s=c.activeDot,f=ee(ee({index:o,dataKey:c.dataKey,cx:n.x,cy:n.y,r:4,fill:(0,T.fk)(e.item),strokeWidth:2,stroke:"#fff",payload:n.payload,value:n.value,key:"".concat(u,"-activePoint-").concat(o)},(0,A.L6)(s,!1)),(0,tD.Ym)(s));return a.push(l.renderActiveDot(s,f)),r?a.push(l.renderActiveDot(s,ee(ee({},f),{},{cx:r.x,cy:r.y,key:"".concat(u,"-basePoint-").concat(o)}))):i&&a.push(null),a}),en(t3(c),"renderGraphicChild",function(t,e,n){var o=c.filterFormatItem(t,e,n);if(!o)return null;var a=c.getTooltipEventType(),u=c.state,l=u.isTooltipActive,s=u.tooltipAxis,f=u.activeTooltipIndex,p=u.activeLabel,h=c.props.children,d=(0,A.sP)(h,S.u),y=o.props,v=y.points,m=y.isRange,g=y.baseLine,b=o.item.props,x=b.activeDot,O=b.hide,w=b.activeBar,j=b.activeShape,E={};"axis"!==a&&d&&"click"===d.props.trigger?E={onClick:(0,T.DO)(c.handleItemMouseEnter,t.props.onClick)}:"axis"!==a&&(E={onMouseLeave:(0,T.DO)(c.handleItemMouseLeave,t.props.onMouseLeave),onMouseEnter:(0,T.DO)(c.handleItemMouseEnter,t.props.onMouseEnter)});var k=(0,r.cloneElement)(t,ee(ee({},o.props),E));if(!O&&l&&d&&(x||w||j)){if(f>=0){if(s.dataKey&&!s.allowDuplicatedCategory){var P="function"==typeof s.dataKey?function(t){return"function"==typeof s.dataKey?s.dataKey(t.payload):null}:"payload.".concat(s.dataKey.toString());_=(0,C.Ap)(v,P,p),N=m&&g&&(0,C.Ap)(g,P,p)}else _=null==v?void 0:v[f],N=m&&g&&g[f];if(j||w){var M=void 0!==t.props.activeIndex?t.props.activeIndex:f;return[(0,r.cloneElement)(t,ee(ee(ee({},o.props),E),{},{activeIndex:M})),null,null]}if(!i()(_))return[k].concat(t8(c.renderActivePoints({item:o,activePoint:_,basePoint:N,childIndex:f,isRange:m})))}else{var _,N,D,I=(null!==(D=c.getItemByXY(c.state.activeCoordinate))&&void 0!==D?D:{graphicalItem:k}).graphicalItem,L=I.item,B=void 0===L?t:L,R=I.childIndex,z=ee(ee(ee({},o.props),E),{},{activeIndex:R});return[(0,r.cloneElement)(B,z),null,null]}}return m?[k,null,null]:[k,null]}),en(t3(c),"renderCustomized",function(t,e,n){return(0,r.cloneElement)(t,ee(ee({key:"recharts-customized-".concat(n)},c.props),c.state))}),en(t3(c),"renderMap",{CartesianGrid:{handler:c.renderGrid,once:!0},ReferenceArea:{handler:c.renderReferenceElement},ReferenceLine:{handler:eu},ReferenceDot:{handler:c.renderReferenceElement},XAxis:{handler:eu},YAxis:{handler:eu},Brush:{handler:c.renderBrush,once:!0},Bar:{handler:c.renderGraphicChild},Line:{handler:c.renderGraphicChild},Area:{handler:c.renderGraphicChild},Radar:{handler:c.renderGraphicChild},RadialBar:{handler:c.renderGraphicChild},Scatter:{handler:c.renderGraphicChild},Pie:{handler:c.renderGraphicChild},Funnel:{handler:c.renderGraphicChild},Tooltip:{handler:c.renderCursor,once:!0},PolarGrid:{handler:c.renderPolarGrid,once:!0},PolarAngleAxis:{handler:c.renderPolarAxis},PolarRadiusAxis:{handler:c.renderPolarAxis},Customized:{handler:c.renderCustomized}}),c.clipPathId="".concat(null!==(e=t.id)&&void 0!==e?e:(0,C.EL)("recharts"),"-clip"),c.throttleTriggeredAfterMouseMove=y()(c.triggeredAfterMouseMove,null!==(o=t.throttleDelay)&&void 0!==o?o:1e3/60),c.state={},c}return o=[{key:"componentDidMount",value:function(){var t,e;this.addListener(),this.accessibilityManager.setDetails({container:this.container,offset:{left:null!==(t=this.props.margin.left)&&void 0!==t?t:0,top:null!==(e=this.props.margin.top)&&void 0!==e?e:0},coordinateList:this.state.tooltipTicks,mouseHandlerCallback:this.triggeredAfterMouseMove,layout:this.props.layout}),this.displayDefaultTooltip()}},{key:"displayDefaultTooltip",value:function(){var t=this.props,e=t.children,n=t.data,r=t.height,o=t.layout,i=(0,A.sP)(e,S.u);if(i){var a=i.props.defaultIndex;if("number"==typeof a&&!(a<0)&&!(a>this.state.tooltipTicks.length)){var u=this.state.tooltipTicks[a]&&this.state.tooltipTicks[a].value,c=ef(this.state,n,a,u),l=this.state.tooltipTicks[a].coordinate,s=(this.state.offset.top+r)/2,f="horizontal"===o?{x:l,y:s}:{y:l,x:s},p=this.state.formattedGraphicalItems.find(function(t){return"Scatter"===t.item.type.name});p&&(f=ee(ee({},f),p.props.points[a].tooltipPosition),c=p.props.points[a].tooltipPayload);var h={activeTooltipIndex:a,isTooltipActive:!0,activeLabel:u,activePayload:c,activeCoordinate:f};this.setState(h),this.renderCursor(i),this.accessibilityManager.setIndex(a)}}}},{key:"getSnapshotBeforeUpdate",value:function(t,e){if(!this.props.accessibilityLayer)return null;if(this.state.tooltipTicks!==e.tooltipTicks&&this.accessibilityManager.setDetails({coordinateList:this.state.tooltipTicks}),this.props.layout!==t.layout&&this.accessibilityManager.setDetails({layout:this.props.layout}),this.props.margin!==t.margin){var n,r;this.accessibilityManager.setDetails({offset:{left:null!==(n=this.props.margin.left)&&void 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s=(0,C.Kt)(c).scale,f=(0,C.Kt)(l).scale,p=s&&s.invert?s.invert(o.chartX):null,h=f&&f.invert?f.invert(o.chartY):null;return ee(ee({},o),{},{xValue:p,yValue:h})}var d=ep(this.state,this.props.data,this.props.layout,a);return d?ee(ee({},o),d):null}},{key:"inRange",value:function(t,e){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=this.props.layout,o=t/n,i=e/n;if("horizontal"===r||"vertical"===r){var a=this.state.offset;return o>=a.left&&o<=a.left+a.width&&i>=a.top&&i<=a.top+a.height?{x:o,y:i}:null}var u=this.state,c=u.angleAxisMap,l=u.radiusAxisMap;if(c&&l){var s=(0,C.Kt)(c);return(0,tM.z3)({x:o,y:i},s)}return null}},{key:"parseEventsOfWrapper",value:function(){var t=this.props.children,e=this.getTooltipEventType(),n=(0,A.sP)(t,S.u),r={};return n&&"axis"===e&&(r="click"===n.props.trigger?{onClick:this.handleClick}:{onMouseEnter:this.handleMouseEnter,onMouseMove:this.handleMouseMove,onMouseLeave:this.handleMouseLeave,onTouchMove:this.handleTouchMove,onTouchStart:this.handleTouchStart,onTouchEnd:this.handleTouchEnd}),ee(ee({},(0,tD.Ym)(this.props,this.handleOuterEvent)),r)}},{key:"addListener",value:function(){tC.on(tN,this.handleReceiveSyncEvent)}},{key:"removeListener",value:function(){tC.removeListener(tN,this.handleReceiveSyncEvent)}},{key:"filterFormatItem",value:function(t,e,n){for(var r=this.state.formattedGraphicalItems,o=0,i=r.length;o<i;o++){var a=r[o];if(a.item===t||a.props.key===t.key||e===(0,A.Gf)(a.item.type)&&n===a.childIndex)return a}return null}},{key:"renderClipPath",value:function(){var t=this.clipPathId,e=this.state.offset,n=e.left,o=e.top,i=e.height,a=e.width;return r.createElement("defs",null,r.createElement("clipPath",{id:t},r.createElement("rect",{x:n,y:o,height:i,width:a})))}},{key:"getXScales",value:function(){var t=this.state.xAxisMap;return t?Object.entries(t).reduce(function(t,e){var n=t2(e,2),r=n[0],o=n[1];return ee(ee({},t),{},en({},r,o.scale))},{}):null}},{key:"getYScales",value:function(){var t=this.state.yAxisMap;return t?Object.entries(t).reduce(function(t,e){var n=t2(e,2),r=n[0],o=n[1];return ee(ee({},t),{},en({},r,o.scale))},{}):null}},{key:"getXScaleByAxisId",value:function(t){var e;return null===(e=this.state.xAxisMap)||void 0===e||null===(e=e[t])||void 0===e?void 0:e.scale}},{key:"getYScaleByAxisId",value:function(t){var e;return null===(e=this.state.yAxisMap)||void 0===e||null===(e=e[t])||void 0===e?void 0:e.scale}},{key:"getItemByXY",value:function(t){var e=this.state,n=e.formattedGraphicalItems,r=e.activeItem;if(n&&n.length)for(var o=0,i=n.length;o<i;o++){var a=n[o],u=a.props,c=a.item,l=(0,A.Gf)(c.type);if("Bar"===l){var 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new file mode 100644
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new file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/3801-4bb3b8116c02dad5.js b/litellm/proxy/_experimental/out/_next/static/chunks/3801-4f763321a8a8d187.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/3801-4bb3b8116c02dad5.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/3801-4f763321a8a8d187.js
index b2e4d2be99..4b891ec32a 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/3801-4bb3b8116c02dad5.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/3801-4f763321a8a8d187.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/4292-5c3ab7c3b62e1965.js b/litellm/proxy/_experimental/out/_next/static/chunks/4292-ebb2872d063070e3.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/4292-5c3ab7c3b62e1965.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/4292-ebb2872d063070e3.js
index a7e9a7f9a9..17a46154b8 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/4292-5c3ab7c3b62e1965.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/4292-ebb2872d063070e3.js
@@ -1 +1 @@
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/5809-33437b27a2ac76d5.js b/litellm/proxy/_experimental/out/_next/static/chunks/5809-f8c1127da1c2abf5.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/5809-33437b27a2ac76d5.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/5809-f8c1127da1c2abf5.js
index f4e2083cbb..d4642bed7a 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/5809-33437b27a2ac76d5.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/5809-f8c1127da1c2abf5.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/603-4d26e1c19f911024.js b/litellm/proxy/_experimental/out/_next/static/chunks/603-3da54c240fd0fff4.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/603-4d26e1c19f911024.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/603-3da54c240fd0fff4.js
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--- a/litellm/proxy/_experimental/out/_next/static/chunks/603-4d26e1c19f911024.js
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similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/6836-e30124a71aafae62.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/6925-5f3f11523497a729.js b/litellm/proxy/_experimental/out/_next/static/chunks/6925-5147197c0982397e.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/6925-5f3f11523497a729.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/6925-5147197c0982397e.js
index 724b03a1f8..53119daebe 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/6925-5f3f11523497a729.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/6925-5147197c0982397e.js
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similarity index 99%
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rename to litellm/proxy/_experimental/out/_next/static/chunks/7155-10ab6e628c7b1668.js
index c1f542b6fc..2bc003d9d5 100644
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deleted file mode 100644
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deleted file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/7906-11071e9e2e7b8318.js b/litellm/proxy/_experimental/out/_next/static/chunks/7906-8c1e7b17671f507c.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/7906-11071e9e2e7b8318.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/7906-8c1e7b17671f507c.js
index 72fe338436..e00031a0c9 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/7906-11071e9e2e7b8318.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/7906-8c1e7b17671f507c.js
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t(e){e.languages.sqf=e.languages.extend("clike",{string:{pattern:/"(?:(?:"")?[^"])*"(?!")|'(?:[^'])*'/,greedy:!0},keyword:/\b(?:breakOut|breakTo|call|case|catch|default|do|echo|else|execFSM|execVM|exitWith|for|forEach|forEachMember|forEachMemberAgent|forEachMemberTeam|from|goto|if|nil|preprocessFile|preprocessFileLineNumbers|private|scopeName|spawn|step|switch|then|throw|to|try|while|with)\b/i,boolean:/\b(?:false|true)\b/i,function:/\b(?:abs|accTime|acos|action|actionIDs|actionKeys|actionKeysImages|actionKeysNames|actionKeysNamesArray|actionName|actionParams|activateAddons|activatedAddons|activateKey|add3DENConnection|add3DENEventHandler|add3DENLayer|addAction|addBackpack|addBackpackCargo|addBackpackCargoGlobal|addBackpackGlobal|addCamShake|addCuratorAddons|addCuratorCameraArea|addCuratorEditableObjects|addCuratorEditingArea|addCuratorPoints|addEditorObject|addEventHandler|addForce|addForceGeneratorRTD|addGoggles|addGroupIcon|addHandgunItem|addHeadgear|addItem|addItemCargo|addItemCargoGlobal|addItemPool|addItemToBackpack|addItemToUniform|addItemToVest|addLiveStats|addMagazine|addMagazineAmmoCargo|addMagazineCargo|addMagazineCargoGlobal|addMagazineGlobal|addMagazinePool|addMagazines|addMagazineTurret|addMenu|addMenuItem|addMissionEventHandler|addMPEventHandler|addMusicEventHandler|addOwnedMine|addPlayerScores|addPrimaryWeaponItem|addPublicVariableEventHandler|addRating|addResources|addScore|addScoreSide|addSecondaryWeaponItem|addSwitchableUnit|addTeamMember|addToRemainsCollector|addTorque|addUniform|addVehicle|addVest|addWaypoint|addWeapon|addWeaponCargo|addWeaponCargoGlobal|addWeaponGlobal|addWeaponItem|addWeaponPool|addWeaponTurret|admin|agent|agents|AGLToASL|aimedAtTarget|aimPos|airDensityCurveRTD|airDensityRTD|airplaneThrottle|airportSide|AISFinishHeal|alive|all3DENEntities|allAirports|allControls|allCurators|allCutLayers|allDead|allDeadMen|allDisplays|allGroups|allMapMarkers|allMines|allMissionObjects|allow3DMode|allowCrewInImmobile|allowCuratorLogicIgnoreAreas|allowDamage|allowDammage|allowFileOperations|allowFleeing|allowGetIn|allowSprint|allPlayers|allSimpleObjects|allSites|allTurrets|allUnits|allUnitsUAV|allVariables|ammo|ammoOnPylon|animate|animateBay|animateDoor|animatePylon|animateSource|animationNames|animationPhase|animationSourcePhase|animationState|append|apply|armoryPoints|arrayIntersect|asin|ASLToAGL|ASLToATL|assert|assignAsCargo|assignAsCargoIndex|assignAsCommander|assignAsDriver|assignAsGunner|assignAsTurret|assignCurator|assignedCargo|assignedCommander|assignedDriver|assignedGunner|assignedItems|assignedTarget|assignedTeam|assignedVehicle|assignedVehicleRole|assignItem|assignTeam|assignToAirport|atan|atan2|atg|ATLToASL|attachedObject|attachedObjects|attachedTo|attachObject|attachTo|attackEnabled|backpack|backpackCargo|backpackContainer|backpackItems|backpackMagazines|backpackSpaceFor|behaviour|benchmark|binocular|blufor|boundingBox|boundingBoxReal|boundingCenter|briefingName|buildingExit|buildingPos|buldozer_EnableRoadDiag|buldozer_IsEnabledRoadDiag|buldozer_LoadNewRoads|buldozer_reloadOperMap|buttonAction|buttonSetAction|cadetMode|callExtension|camCommand|camCommit|camCommitPrepared|camCommitted|camConstuctionSetParams|camCreate|camDestroy|cameraEffect|cameraEffectEnableHUD|cameraInterest|cameraOn|cameraView|campaignConfigFile|camPreload|camPreloaded|camPrepareBank|camPrepareDir|camPrepareDive|camPrepareFocus|camPrepareFov|camPrepareFovRange|camPreparePos|camPrepareRelPos|camPrepareTarget|camSetBank|camSetDir|camSetDive|camSetFocus|camSetFov|camSetFovRange|camSetPos|camSetRelPos|camSetTarget|camTarget|camUseNVG|canAdd|canAddItemToBackpack|canAddItemToUniform|canAddItemToVest|cancelSimpleTaskDestination|canFire|canMove|canSlingLoad|canStand|canSuspend|canTriggerDynamicSimulation|canUnloadInCombat|canVehicleCargo|captive|captiveNum|cbChecked|cbSetChecked|ceil|channelEnabled|cheatsEnabled|checkAIFeature|checkVisibility|civilian|className|clear3DENAttribute|clear3DENInventory|clearAllItemsFromBackpack|clearBackpackCargo|clearBackpackCargoGlobal|clearForcesRTD|clearGroupIcons|clearItemCargo|clearItemCargoGlobal|clearItemPool|clearMagazineCargo|clearMagazineCargoGlobal|clearMagazinePool|clearOverlay|clearRadio|clearVehicleInit|clearWeaponCargo|clearWeaponCargoGlobal|clearWeaponPool|clientOwner|closeDialog|closeDisplay|closeOverlay|collapseObjectTree|collect3DENHistory|collectiveRTD|combatMode|commandArtilleryFire|commandChat|commander|commandFire|commandFollow|commandFSM|commandGetOut|commandingMenu|commandMove|commandRadio|commandStop|commandSuppressiveFire|commandTarget|commandWatch|comment|commitOverlay|compile|compileFinal|completedFSM|composeText|configClasses|configFile|configHierarchy|configName|configNull|configProperties|configSourceAddonList|configSourceMod|configSourceModList|confirmSensorTarget|connectTerminalToUAV|controlNull|controlsGroupCtrl|copyFromClipboard|copyToClipboard|copyWaypoints|cos|count|countEnemy|countFriendly|countSide|countType|countUnknown|create3DENComposition|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t(e){e.languages.sqf=e.languages.extend("clike",{string:{pattern:/"(?:(?:"")?[^"])*"(?!")|'(?:[^'])*'/,greedy:!0},keyword:/\b(?:breakOut|breakTo|call|case|catch|default|do|echo|else|execFSM|execVM|exitWith|for|forEach|forEachMember|forEachMemberAgent|forEachMemberTeam|from|goto|if|nil|preprocessFile|preprocessFileLineNumbers|private|scopeName|spawn|step|switch|then|throw|to|try|while|with)\b/i,boolean:/\b(?:false|true)\b/i,function:/\b(?:abs|accTime|acos|action|actionIDs|actionKeys|actionKeysImages|actionKeysNames|actionKeysNamesArray|actionName|actionParams|activateAddons|activatedAddons|activateKey|add3DENConnection|add3DENEventHandler|add3DENLayer|addAction|addBackpack|addBackpackCargo|addBackpackCargoGlobal|addBackpackGlobal|addCamShake|addCuratorAddons|addCuratorCameraArea|addCuratorEditableObjects|addCuratorEditingArea|addCuratorPoints|addEditorObject|addEventHandler|addForce|addForceGeneratorRTD|addGoggles|addGroupIcon|addHandgunItem|addHeadgear|addItem|addItemCargo|addItemCargoGlobal|addItemPool|addItemToBackpack|addItemToUniform|addItemToVest|addLiveStats|addMagazine|addMagazineAmmoCargo|addMagazineCargo|addMagazineCargoGlobal|addMagazineGlobal|addMagazinePool|addMagazines|addMagazineTurret|addMenu|addMenuItem|addMissionEventHandler|addMPEventHandler|addMusicEventHandler|addOwnedMine|addPlayerScores|addPrimaryWeaponItem|addPublicVariableEventHandler|addRating|addResources|addScore|addScoreSide|addSecondaryWeaponItem|addSwitchableUnit|addTeamMember|addToRemainsCollector|addTorque|addUniform|addVehicle|addVest|addWaypoint|addWeapon|addWeaponCargo|addWeaponCargoGlobal|addWeaponGlobal|addWeaponItem|addWeaponPool|addWeaponTurret|admin|agent|agents|AGLToASL|aimedAtTarget|aimPos|airDensityCurveRTD|airDensityRTD|airplaneThrottle|airportSide|AISFinishHeal|alive|all3DENEntities|allAirports|allControls|allCurators|allCutLayers|allDead|allDeadMen|allDisplays|allGroups|allMapMarkers|allMines|allMissionObjects|allow3DMode|allowCrewInImmobile|allowCuratorLogicIgnoreAreas|allowDamage|allowDammage|allowFileOperations|allowFleeing|allowGetIn|allowSprint|allPlayers|allSimpleObjects|allSites|allTurrets|allUnits|allUnitsUAV|allVariables|ammo|ammoOnPylon|animate|animateBay|animateDoor|animatePylon|animateSource|animationNames|animationPhase|animationSourcePhase|animationState|append|apply|armoryPoints|arrayIntersect|asin|ASLToAGL|ASLToATL|assert|assignAsCargo|assignAsCargoIndex|assignAsCommander|assignAsDriver|assignAsGunner|assignAsTurret|assignCurator|assignedCargo|assignedCommander|assignedDriver|assignedGunner|assignedItems|assignedTarget|assignedTeam|assignedVehicle|assignedVehicleRole|assignItem|assignTeam|assignToAirport|atan|atan2|atg|ATLToASL|attachedObject|attachedObjects|attachedTo|attachObject|attachTo|attackEnabled|backpack|backpackCargo|backpackContainer|backpackItems|backpackMagazines|backpackSpaceFor|behaviour|benchmark|binocular|blufor|boundingBox|boundingBoxReal|boundingCenter|briefingName|buildingExit|buildingPos|buldozer_EnableRoadDiag|buldozer_IsEnabledRoadDiag|buldozer_LoadNewRoads|buldozer_reloadOperMap|buttonAction|buttonSetAction|cadetMode|callExtension|camCommand|camCommit|camCommitPrepared|camCommitted|camConstuctionSetParams|camCreate|camDestroy|cameraEffect|cameraEffectEnableHUD|cameraInterest|cameraOn|cameraView|campaignConfigFile|camPreload|camPreloaded|camPrepareBank|camPrepareDir|camPrepareDive|camPrepareFocus|camPrepareFov|camPrepareFovRange|camPreparePos|camPrepareRelPos|camPrepareTarget|camSetBank|camSetDir|camSetDive|camSetFocus|camSetFov|camSetFovRange|camSetPos|camSetRelPos|camSetTarget|camTarget|camUseNVG|canAdd|canAddItemToBackpack|canAddItemToUniform|canAddItemToVest|cancelSimpleTaskDestination|canFire|canMove|canSlingLoad|canStand|canSuspend|canTriggerDynamicSimulation|canUnloadInCombat|canVehicleCargo|captive|captiveNum|cbChecked|cbSetChecked|ceil|channelEnabled|cheatsEnabled|checkAIFeature|checkVisibility|civilian|className|clear3DENAttribute|clear3DENInventory|clearAllItemsFromBackpack|clearBackpackCargo|clearBackpackCargoGlobal|clearForcesRTD|clearGroupIcons|clearItemCargo|clearItemCargoGlobal|clearItemPool|clearMagazineCargo|clearMagazineCargoGlobal|clearMagazinePool|clearOverlay|clearRadio|clearVehicleInit|clearWeaponCargo|clearWeaponCargoGlobal|clearWeaponPool|clientOwner|closeDialog|closeDisplay|closeOverlay|collapseObjectTree|collect3DENHistory|collectiveRTD|combatMode|commandArtilleryFire|commandChat|commander|commandFire|commandFollow|commandFSM|commandGetOut|commandingMenu|commandMove|commandRadio|commandStop|commandSuppressiveFire|commandTarget|commandWatch|comment|commitOverlay|compile|compileFinal|completedFSM|composeText|configClasses|configFile|configHierarchy|configName|configNull|configProperties|configSourceAddonList|configSourceMod|configSourceModList|confirmSensorTarget|connectTerminalToUAV|controlNull|controlsGroupCtrl|copyFromClipboard|copyToClipboard|copyWaypoints|cos|count|countEnemy|countFriendly|countSide|countType|countUnknown|create3DENComposition|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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/8049-0a4ef0c3396390d0.js b/litellm/proxy/_experimental/out/_next/static/chunks/8049-f268e4c9d6244ca6.js
similarity index 100%
rename from litellm/proxy/_experimental/out/_next/static/chunks/8049-0a4ef0c3396390d0.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/8049-f268e4c9d6244ca6.js
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/8143-44b491eb039c1a37.js b/litellm/proxy/_experimental/out/_next/static/chunks/8143-fd1f5ea4c11f7be0.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/8143-44b491eb039c1a37.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/8143-fd1f5ea4c11f7be0.js
index c41f1effaf..a14b812127 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/8143-44b491eb039c1a37.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/8143-fd1f5ea4c11f7be0.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/8347-0845abae9a2a5d9e.js b/litellm/proxy/_experimental/out/_next/static/chunks/8347-991a00d276844ec2.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/8347-0845abae9a2a5d9e.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/8347-991a00d276844ec2.js
index 0826d5228e..904d38f11e 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/8347-0845abae9a2a5d9e.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/8347-991a00d276844ec2.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/9678-c633432ec1f8c65a.js b/litellm/proxy/_experimental/out/_next/static/chunks/9678-67bc0e3b5067d035.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/9678-c633432ec1f8c65a.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/9678-67bc0e3b5067d035.js
index a30ae24051..3d751ba8dd 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/9678-c633432ec1f8c65a.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/9678-67bc0e3b5067d035.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/9883-e2032dc1a6b4b15f.js b/litellm/proxy/_experimental/out/_next/static/chunks/9883-e2032dc1a6b4b15f.js
new file mode 100644
index 0000000000..5ded6b7bc8
--- /dev/null
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/9883-e2032dc1a6b4b15f.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/9888-a0a2120c93674b5e.js b/litellm/proxy/_experimental/out/_next/static/chunks/9888-af89e0e21cb542bd.js
similarity index 99%
rename from litellm/proxy/_experimental/out/_next/static/chunks/9888-a0a2120c93674b5e.js
rename to litellm/proxy/_experimental/out/_next/static/chunks/9888-af89e0e21cb542bd.js
index 321e352255..469e88dc4f 100644
--- a/litellm/proxy/_experimental/out/_next/static/chunks/9888-a0a2120c93674b5e.js
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/9888-af89e0e21cb542bd.js
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n=t.content.at(-1);switch(e.delta.type){case"text_delta":"text"===n.type&&this._emit("text",e.delta.text,n.text||"");break;case"citations_delta":"text"===n.type&&this._emit("citation",e.delta.citation,n.citations??[]);break;case"input_json_delta":tE(n)&&n.input&&this._emit("inputJson",e.delta.partial_json,n.input);break;case"thinking_delta":"thinking"===n.type&&this._emit("thinking",e.delta.thinking,n.thinking);break;case"signature_delta":"thinking"===n.type&&this._emit("signature",n.signature);break;default:e.delta}break}case"message_stop":this._addMessageParam(t),this._addMessage(t,!0);break;case"content_block_stop":this._emit("contentBlock",t.content.at(-1));break;case"message_start":et(this,s,t,"f")}},T=function(){if(this.ended)throw new el("stream has ended, this shouldn't happen");let e=en(this,s,"f");if(!e)throw new el("request ended without sending any chunks");return et(this,s,void 0,"f"),e},P=function(e){let t=en(this,s,"f");if("message_start"===e.type){if(t)throw new el(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new el(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.container=e.delta.container,t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push(e.content_block),t;case"content_block_delta":{let n=t.content.at(e.index);switch(e.delta.type){case"text_delta":n?.type==="text"&&(n.text+=e.delta.text);break;case"citations_delta":n?.type==="text"&&(n.citations??(n.citations=[]),n.citations.push(e.delta.citation));break;case"input_json_delta":if(n&&tE(n)){let t=n[t_]||"";if(Object.defineProperty(n,t_,{value:t+=e.delta.partial_json,enumerable:!1,writable:!0}),t)try{n.input=tS(t)}catch(n){let e=new el(`Unable to parse tool parameter JSON from model. Please retry your request or adjust your prompt. Error: ${n}. JSON: ${t}`);en(this,_,"f").call(this,e)}}break;case"thinking_delta":n?.type==="thinking"&&(n.thinking+=e.delta.thinking);break;case"signature_delta":n?.type==="thinking"&&(n.signature=e.delta.signature);break;default:e.delta}return t}}},Symbol.asyncIterator)](){let e=[],t=[],n=!1;return this.on("streamEvent",n=>{let r=t.shift();r?r.resolve(n):e.push(n)}),this.on("end",()=>{for(let e of(n=!0,t))e.resolve(void 0);t.length=0}),this.on("abort",e=>{for(let r of(n=!0,t))r.reject(e);t.length=0}),this.on("error",e=>{for(let r of(n=!0,t))r.reject(e);t.length=0}),{next:async()=>e.length?{value:e.shift(),done:!1}:n?{value:void 0,done:!0}:new Promise((e,n)=>t.push({resolve:e,reject:n})).then(e=>e?{value:e,done:!1}:{value:void 0,done:!0}),return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new eZ(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}let tT={"claude-opus-4-20250514":8192,"claude-opus-4-0":8192,"claude-4-opus-20250514":8192,"anthropic.claude-opus-4-20250514-v1:0":8192,"claude-opus-4@20250514":8192},tP={"claude-1.3":"November 6th, 2024","claude-1.3-100k":"November 6th, 2024","claude-instant-1.1":"November 6th, 2024","claude-instant-1.1-100k":"November 6th, 2024","claude-instant-1.2":"November 6th, 2024","claude-3-sonnet-20240229":"July 21st, 2025","claude-2.1":"July 21st, 2025","claude-2.0":"July 21st, 2025"};class tC extends tu{constructor(){super(...arguments),this.batches=new tv(this._client)}create(e,t){let{betas:n,...r}=e;r.model in tP&&console.warn(`The model '${r.model}' is deprecated and will reach end-of-life on ${tP[r.model]}
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Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information.`);let i=this._client._options.timeout;if(!r.stream&&null==i){let e=tT[r.model]??void 0;i=this._client.calculateNonstreamingTimeout(r.max_tokens,e)}return this._client.post("/v1/messages?beta=true",{body:r,timeout:i??6e5,...t,headers:tf([{...n?.toString()!=null?{"anthropic-beta":n?.toString()}:void 0},t?.headers]),stream:e.stream??!1})}stream(e,t){return tR.createMessage(this,e,t)}countTokens(e,t){let{betas:n,...r}=e;return this._client.post("/v1/messages/count_tokens?beta=true",{body:r,...t,headers:tf([{"anthropic-beta":[...n??[],"token-counting-2024-11-01"].toString()},t?.headers])})}}tC.Batches=tv;class tM extends tu{constructor(){super(...arguments),this.models=new tg(this._client),this.messages=new tC(this._client),this.files=new tm(this._client)}}tM.Models=tg,tM.Messages=tC,tM.Files=tm;class tA extends tu{create(e,t){let{betas:n,...r}=e;return 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has ended, this shouldn't happen");let e=en(this,M,"f");if(!e)throw new el("request ended without sending any chunks");return et(this,M,void 0,"f"),e},K=function(e){let t=en(this,M,"f");if("message_start"===e.type){if(t)throw new el(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new el(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push(e.content_block),t;case"content_block_delta":{let n=t.content.at(e.index);switch(e.delta.type){case"text_delta":n?.type==="text"&&(n.text+=e.delta.text);break;case"citations_delta":n?.type==="text"&&(n.citations??(n.citations=[]),n.citations.push(e.delta.citation));break;case"input_json_delta":if(n&&tO(n)){let t=n[tI]||"";Object.defineProperty(n,tI,{value:t+=e.delta.partial_json,enumerable:!1,writable:!0}),t&&(n.input=tS(t))}break;case"thinking_delta":n?.type==="thinking"&&(n.thinking+=e.delta.thinking);break;case"signature_delta":n?.type==="thinking"&&(n.signature=e.delta.signature);break;default:e.delta}return t}}},Symbol.asyncIterator)](){let e=[],t=[],n=!1;return this.on("streamEvent",n=>{let r=t.shift();r?r.resolve(n):e.push(n)}),this.on("end",()=>{for(let e of(n=!0,t))e.resolve(void 0);t.length=0}),this.on("abort",e=>{for(let r of(n=!0,t))r.reject(e);t.length=0}),this.on("error",e=>{for(let r of(n=!0,t))r.reject(e);t.length=0}),{next:async()=>e.length?{value:e.shift(),done:!1}:n?{value:void 0,done:!0}:new Promise((e,n)=>t.push({resolve:e,reject:n})).then(e=>e?{value:e,done:!1}:{value:void 0,done:!0}),return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new eZ(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}class tL extends tu{create(e,t){return this._client.post("/v1/messages/batches",{body:e,...t})}retrieve(e,t){return this._client.get(tp`/v1/messages/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/v1/messages/batches",e2,{query:e,...t})}delete(e,t){return this._client.delete(tp`/v1/messages/batches/${e}`,t)}cancel(e,t){return this._client.post(tp`/v1/messages/batches/${e}/cancel`,t)}async results(e,t){let n=await this.retrieve(e);if(!n.results_url)throw new el(`No batch \`results_url\`; Has it finished processing? ${n.processing_status} - ${n.id}`);return this._client.get(n.results_url,{...t,headers:tf([{Accept:"application/binary"},t?.headers]),stream:!0,__binaryResponse:!0})._thenUnwrap((e,t)=>ty.fromResponse(t.response,t.controller))}}class tj extends tu{constructor(){super(...arguments),this.batches=new tL(this._client)}create(e,t){e.model in tD&&console.warn(`The model '${e.model}' is deprecated and will reach end-of-life on ${tD[e.model]}
diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/api-reference/page-0ff59203946a84a0.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/api-reference/page-0ff59203946a84a0.js
new file mode 100644
index 0000000000..b39164131a
--- /dev/null
+++ b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/api-reference/page-0ff59203946a84a0.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/api-playground/page-a9a2313f4a4f5576.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/api-playground/page-a9a2313f4a4f5576.js
deleted file mode 100644
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/api-playground/page-aa57e070a02e9492.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/api-playground/page-aa57e070a02e9492.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/budgets/page-3f76f4d2f9e30bdd.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/budgets/page-3f76f4d2f9e30bdd.js
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index c0ab9ba588..0000000000
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/caching/page-6f2391894f41b621.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/caching/page-6f2391894f41b621.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/caching/page-732ff8bc946077b5.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/caching/page-732ff8bc946077b5.js
deleted file mode 100644
index 45b2ca1c0a..0000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/caching/page-732ff8bc946077b5.js
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/old-usage/page-8f20fa1eb19068a7.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/experimental/old-usage/page-8f20fa1eb19068a7.js
deleted file mode 100644
index 9196c1fc33..0000000000
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new file mode 100644
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new file mode 100644
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here",b=h.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),y=s.filter(e=>!e.isImage).map(e=>{let{role:n,content:t}=e;return{role:n,content:t}}),v={};l.length>0&&(v.tags=l),p.length>0&&(v.vector_stores=p),c.length>0&&(v.guardrails=c);let w=d||"your-model-name",x="azure"===g?'import openai\n\nclient = openai.AzureOpenAI(\n	api_key="'.concat(_||"YOUR_LITELLM_API_KEY",'",\n	azure_endpoint="').concat(f,'",\n	api_version="2024-02-01"\n)'):'import openai\n\nclient = openai.OpenAI(\n	api_key="'.concat(_||"YOUR_LITELLM_API_KEY",'",\n	base_url="').concat(f,'"\n)');switch(u){case a.KP.CHAT:{let e=Object.keys(v).length>0,t="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();t=",\n    extra_body=".concat(e)}let a=y.length>0?y:[{role:"user",content:h}];n='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.chat.completions.create(\n    model="'.concat(w,'",\n    messages=').concat(JSON.stringify(a,null,4)).concat(t,'\n)\n\nprint(response)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.chat.completions.create(\n#     model="').concat(w,'",\n#     messages=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {\n#                     "type": "text",\n#                     "text": "').concat(b,'"\n#                 },\n#                 {\n#                     "type": "image_url",\n#                     "image_url": {\n#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}\n#                     }\n#                 }\n#             ]\n#         }\n#     ]').concat(t,"\n# )\n# print(response_with_file)\n");break}case a.KP.RESPONSES:{let e=Object.keys(v).length>0,t="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();t=",\n    extra_body=".concat(e)}let a=y.length>0?y:[{role:"user",content:h}];n='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.responses.create(\n    model="'.concat(w,'",\n    input=').concat(JSON.stringify(a,null,4)).concat(t,'\n)\n\nprint(response.output_text)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.responses.create(\n#     model="').concat(w,'",\n#     input=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {"type": "input_text", "text": "').concat(b,'"},\n#                 {\n#                     "type": "input_image",\n#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}\n#                 },\n#             ],\n#         }\n#     ]').concat(t,"\n# )\n# print(response_with_file.output_text)\n");break}case a.KP.IMAGE:n="azure"===g?"\n# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.\n# This snippet uses 'client.images.generate' and will create a new image based on your prompt.\n# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.\nimport os\nimport requests\nimport json\nimport time\nfrom PIL import Image\n\nresult = client.images.generate(\n	model=\"".concat(w,'",\n	prompt="').concat(r,'",\n	n=1\n)\n\njson_response = json.loads(result.model_dump_json())\n\n# Set the directory for the stored image\nimage_dir = os.path.join(os.curdir, \'images\')\n\n# If the directory doesn\'t exist, create it\nif not os.path.isdir(image_dir):\n	os.mkdir(image_dir)\n\n# Initialize the image path\nimage_filename = f"generated_image_{int(time.time())}.png"\nimage_path = os.path.join(image_dir, image_filename)\n\ntry:\n	# Retrieve the generated image\n	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):\n			image_url = json_response["data"][0]["url"]\n			generated_image = requests.get(image_url).content\n			with open(image_path, "wb") as image_file:\n					image_file.write(generated_image)\n\n			print(f"Image saved to {image_path}")\n			# Display the image\n			image = Image.open(image_path)\n			image.show()\n	else:\n			print("Could not find image URL in response.")\n			print("Full response:", json_response)\nexcept Exception as e:\n	print(f"An error occurred: {e}")\n	print("Full response:", json_response)\n'):"\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(b,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(w,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;case a.KP.IMAGE_EDITS:n="azure"===g?'\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, "rb") as image_file:\n			return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# The prompt entered by the user\nprompt = "'.concat(b,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(w,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n'):"\nimport base64\nimport os\nimport time\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(b,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(w,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;default:n="\n# Code generation for this endpoint is not implemented yet."}return"".concat(x,"\n").concat(n)}},51601:function(e,n,t){"use strict";t.d(n,{p:function(){return i}});var a=t(19250);let i=async e=>{try{let n=await (0,a.modelHubCall)(e);if(console.log("model_info:",n),(null==n?void 0:n.data.length)>0){let e=n.data.map(e=>({model_group:e.model_group,mode:null==e?void 0:e.mode}));return e.sort((e,n)=>e.model_group.localeCompare(n.model_group)),e}return[]}catch(e){throw console.error("Error fetching model info:",e),e}}},49817:function(e,n,t){"use strict";var a,i,o,r;t.d(n,{KP:function(){return i},vf:function(){return l}}),(o=a||(a={})).IMAGE_GENERATION="image_generation",o.CHAT="chat",o.RESPONSES="responses",o.IMAGE_EDITS="image_edits",o.ANTHROPIC_MESSAGES="anthropic_messages",(r=i||(i={})).IMAGE="image",r.CHAT="chat",r.RESPONSES="responses",r.IMAGE_EDITS="image_edits",r.ANTHROPIC_MESSAGES="anthropic_messages";let s={image_generation:"image",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages"},l=e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let n=s[e];return console.log("endpointType:",n),n}return"chat"}},67479:function(e,n,t){"use strict";var a=t(57437),i=t(2265),o=t(52787),r=t(19250);n.Z=e=>{let{onChange:n,value:t,className:s,accessToken:l,disabled:p}=e,[c,m]=(0,i.useState)([]),[u,d]=(0,i.useState)(!1);return(0,i.useEffect)(()=>{(async()=>{if(l){d(!0);try{let e=await (0,r.getGuardrailsList)(l);console.log("Guardrails response:",e),e.guardrails&&(console.log("Guardrails data:",e.guardrails),m(e.guardrails))}catch(e){console.error("Error fetching guardrails:",e)}finally{d(!1)}}})()},[l]),(0,a.jsx)("div",{children:(0,a.jsx)(o.default,{mode:"multiple",disabled:p,placeholder:p?"Setting guardrails is a premium feature.":"Select guardrails",onChange:e=>{console.log("Selected guardrails:",e),n(e)},value:t,loading:u,className:s,options:c.map(e=>(console.log("Mapping guardrail:",e),{label:"".concat(e.guardrail_name),value:e.guardrail_name})),optionFilterProp:"label",showSearch:!0,style:{width:"100%"}})})}},97415:function(e,n,t){"use strict";var a=t(57437),i=t(2265),o=t(52787),r=t(19250);n.Z=e=>{let{onChange:n,value:t,className:s,accessToken:l,placeholder:p="Select vector stores",disabled:c=!1}=e,[m,u]=(0,i.useState)([]),[d,g]=(0,i.useState)(!1);return(0,i.useEffect)(()=>{(async()=>{if(l){g(!0);try{let e=await (0,r.vectorStoreListCall)(l);e.data&&u(e.data)}catch(e){console.error("Error fetching vector stores:",e)}finally{g(!1)}}})()},[l]),(0,a.jsx)("div",{children:(0,a.jsx)(o.default,{mode:"multiple",placeholder:p,onChange:n,value:t,loading:d,className:s,options:m.map(e=>({label:"".concat(e.vector_store_name||e.vector_store_id," (").concat(e.vector_store_id,")"),value:e.vector_store_id,title:e.vector_store_description||e.vector_store_id})),optionFilterProp:"label",showSearch:!0,style:{width:"100%"},disabled:c})})}}},function(e){e.O(0,[9820,1491,1526,2417,3709,9775,7908,9011,5319,7906,4851,6433,9888,8049,1052,2971,2117,1744],function(){return e(e.s=18550)}),_N_E=e.O()}]);
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diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/test-key/page-7f4c63c9185a0cc2.js b/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/test-key/page-7f4c63c9185a0cc2.js
deleted file mode 100644
index eee02724a9..0000000000
--- a/litellm/proxy/_experimental/out/_next/static/chunks/app/(dashboard)/test-key/page-7f4c63c9185a0cc2.js
+++ /dev/null
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strict";t.d(n,{L:function(){return i}});var a=t(49817);let i=e=>{let n;let{apiKeySource:t,accessToken:i,apiKey:o,inputMessage:r,chatHistory:s,selectedTags:l,selectedVectorStores:p,selectedGuardrails:m,selectedMCPTools:c,endpointType:u,selectedModel:g,selectedSdk:d}=e,_="session"===t?i:o,f=window.location.origin,h=r||"Your prompt here",b=h.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),y=s.filter(e=>!e.isImage).map(e=>{let{role:n,content:t}=e;return{role:n,content:t}}),v={};l.length>0&&(v.tags=l),p.length>0&&(v.vector_stores=p),m.length>0&&(v.guardrails=m);let x=g||"your-model-name",w="azure"===d?'import openai\n\nclient = openai.AzureOpenAI(\n	api_key="'.concat(_||"YOUR_LITELLM_API_KEY",'",\n	azure_endpoint="').concat(f,'",\n	api_version="2024-02-01"\n)'):'import openai\n\nclient = openai.OpenAI(\n	api_key="'.concat(_||"YOUR_LITELLM_API_KEY",'",\n	base_url="').concat(f,'"\n)');switch(u){case a.KP.CHAT:{let e=Object.keys(v).length>0,t="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();t=",\n    extra_body=".concat(e)}let a=y.length>0?y:[{role:"user",content:h}];n='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.chat.completions.create(\n    model="'.concat(x,'",\n    messages=').concat(JSON.stringify(a,null,4)).concat(t,'\n)\n\nprint(response)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.chat.completions.create(\n#     model="').concat(x,'",\n#     messages=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {\n#                     "type": "text",\n#                     "text": "').concat(b,'"\n#                 },\n#                 {\n#                     "type": "image_url",\n#                     "image_url": {\n#                         "url": f"data:image/jpeg;base64,{base64_file}"  # or data:application/pdf;base64,{base64_file}\n#                     }\n#                 }\n#             ]\n#         }\n#     ]').concat(t,"\n# )\n# print(response_with_file)\n");break}case a.KP.RESPONSES:{let e=Object.keys(v).length>0,t="";if(e){let e=JSON.stringify({metadata:v},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();t=",\n    extra_body=".concat(e)}let a=y.length>0?y:[{role:"user",content:h}];n='\nimport base64\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n    with open(image_path, "rb") as image_file:\n        return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# Example with text only\nresponse = client.responses.create(\n    model="'.concat(x,'",\n    input=').concat(JSON.stringify(a,null,4)).concat(t,'\n)\n\nprint(response.output_text)\n\n# Example with image or PDF (uncomment and provide file path to use)\n# base64_file = encode_image("path/to/your/file.jpg")  # or .pdf\n# response_with_file = client.responses.create(\n#     model="').concat(x,'",\n#     input=[\n#         {\n#             "role": "user",\n#             "content": [\n#                 {"type": "input_text", "text": "').concat(b,'"},\n#                 {\n#                     "type": "input_image",\n#                     "image_url": f"data:image/jpeg;base64,{base64_file}",  # or data:application/pdf;base64,{base64_file}\n#                 },\n#             ],\n#         }\n#     ]').concat(t,"\n# )\n# print(response_with_file.output_text)\n");break}case a.KP.IMAGE:n="azure"===d?"\n# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI.\n# This snippet uses 'client.images.generate' and will create a new image based on your prompt.\n# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context.\nimport os\nimport requests\nimport json\nimport time\nfrom PIL import Image\n\nresult = client.images.generate(\n	model=\"".concat(x,'",\n	prompt="').concat(r,'",\n	n=1\n)\n\njson_response = json.loads(result.model_dump_json())\n\n# Set the directory for the stored image\nimage_dir = os.path.join(os.curdir, \'images\')\n\n# If the directory doesn\'t exist, create it\nif not os.path.isdir(image_dir):\n	os.mkdir(image_dir)\n\n# Initialize the image path\nimage_filename = f"generated_image_{int(time.time())}.png"\nimage_path = os.path.join(image_dir, image_filename)\n\ntry:\n	# Retrieve the generated image\n	if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"):\n			image_url = json_response["data"][0]["url"]\n			generated_image = requests.get(image_url).content\n			with open(image_path, "wb") as image_file:\n					image_file.write(generated_image)\n\n			print(f"Image saved to {image_path}")\n			# Display the image\n			image = Image.open(image_path)\n			image.show()\n	else:\n			print("Could not find image URL in response.")\n			print("Full response:", json_response)\nexcept Exception as e:\n	print(f"An error occurred: {e}")\n	print("Full response:", json_response)\n'):"\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(b,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(x,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;case a.KP.IMAGE_EDITS:n="azure"===d?'\nimport base64\nimport os\nimport time\nimport json\nfrom PIL import Image\nimport requests\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, "rb") as image_file:\n			return base64.b64encode(image_file.read()).decode(\'utf-8\')\n\n# The prompt entered by the user\nprompt = "'.concat(b,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(x,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n'):"\nimport base64\nimport os\nimport time\n\n# Helper function to encode images to base64\ndef encode_image(image_path):\n	with open(image_path, \"rb\") as image_file:\n			return base64.b64encode(image_file.read()).decode('utf-8')\n\n# Helper function to create a file (simplified for this example)\ndef create_file(image_path):\n	# In a real implementation, this would upload the file to OpenAI\n	# For this example, we'll just return a placeholder ID\n	return f\"file_{os.path.basename(image_path).replace('.', '_')}\"\n\n# The prompt entered by the user\nprompt = \"".concat(b,'"\n\n# Encode images to base64\nbase64_image1 = encode_image("body-lotion.png")\nbase64_image2 = encode_image("soap.png")\n\n# Create file IDs\nfile_id1 = create_file("body-lotion.png")\nfile_id2 = create_file("incense-kit.png")\n\nresponse = client.responses.create(\n	model="').concat(x,'",\n	input=[\n			{\n					"role": "user",\n					"content": [\n							{"type": "input_text", "text": prompt},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image1}",\n							},\n							{\n									"type": "input_image",\n									"image_url": f"data:image/jpeg;base64,{base64_image2}",\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id1,\n							},\n							{\n									"type": "input_image",\n									"file_id": file_id2,\n							}\n					],\n			}\n	],\n	tools=[{"type": "image_generation"}],\n)\n\n# Process the response\nimage_generation_calls = [\n	output\n	for output in response.output\n	if output.type == "image_generation_call"\n]\n\nimage_data = [output.result for output in image_generation_calls]\n\nif image_data:\n	image_base64 = image_data[0]\n	image_filename = f"edited_image_{int(time.time())}.png"\n	with open(image_filename, "wb") as f:\n			f.write(base64.b64decode(image_base64))\n	print(f"Image saved to {image_filename}")\nelse:\n	# If no image is generated, there might be a text response with an explanation\n	text_response = [output.text for output in response.output if hasattr(output, \'text\')]\n	if text_response:\n			print("No image generated. Model response:")\n			print("\\n".join(text_response))\n	else:\n			print("No image data found in response.")\n	print("Full response for debugging:")\n	print(response)\n');break;default:n="\n# Code generation for this endpoint is not implemented yet."}return"".concat(w,"\n").concat(n)}},51601:function(e,n,t){"use strict";t.d(n,{p:function(){return i}});var a=t(19250);let i=async e=>{try{let n=await (0,a.modelHubCall)(e);if(console.log("model_info:",n),(null==n?void 0:n.data.length)>0){let e=n.data.map(e=>({model_group:e.model_group,mode:null==e?void 0:e.mode}));return e.sort((e,n)=>e.model_group.localeCompare(n.model_group)),e}return[]}catch(e){throw console.error("Error fetching model info:",e),e}}},49817:function(e,n,t){"use strict";var a,i,o,r;t.d(n,{KP:function(){return i},vf:function(){return l}}),(o=a||(a={})).IMAGE_GENERATION="image_generation",o.CHAT="chat",o.RESPONSES="responses",o.IMAGE_EDITS="image_edits",o.ANTHROPIC_MESSAGES="anthropic_messages",(r=i||(i={})).IMAGE="image",r.CHAT="chat",r.RESPONSES="responses",r.IMAGE_EDITS="image_edits",r.ANTHROPIC_MESSAGES="anthropic_messages";let s={image_generation:"image",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages"},l=e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let n=s[e];return console.log("endpointType:",n),n}return"chat"}},67479:function(e,n,t){"use strict";var a=t(57437),i=t(2265),o=t(52787),r=t(19250);n.Z=e=>{let{onChange:n,value:t,className:s,accessToken:l,disabled:p}=e,[m,c]=(0,i.useState)([]),[u,g]=(0,i.useState)(!1);return(0,i.useEffect)(()=>{(async()=>{if(l){g(!0);try{let e=await (0,r.getGuardrailsList)(l);console.log("Guardrails response:",e),e.guardrails&&(console.log("Guardrails data:",e.guardrails),c(e.guardrails))}catch(e){console.error("Error fetching guardrails:",e)}finally{g(!1)}}})()},[l]),(0,a.jsx)("div",{children:(0,a.jsx)(o.default,{mode:"multiple",disabled:p,placeholder:p?"Setting guardrails is a premium feature.":"Select guardrails",onChange:e=>{console.log("Selected guardrails:",e),n(e)},value:t,loading:u,className:s,options:m.map(e=>(console.log("Mapping guardrail:",e),{label:"".concat(e.guardrail_name),value:e.guardrail_name})),optionFilterProp:"label",showSearch:!0,style:{width:"100%"}})})}},97415:function(e,n,t){"use strict";var a=t(57437),i=t(2265),o=t(52787),r=t(19250);n.Z=e=>{let{onChange:n,value:t,className:s,accessToken:l,placeholder:p="Select vector stores",disabled:m=!1}=e,[c,u]=(0,i.useState)([]),[g,d]=(0,i.useState)(!1);return(0,i.useEffect)(()=>{(async()=>{if(l){d(!0);try{let e=await (0,r.vectorStoreListCall)(l);e.data&&u(e.data)}catch(e){console.error("Error fetching vector stores:",e)}finally{d(!1)}}})()},[l]),(0,a.jsx)("div",{children:(0,a.jsx)(o.default,{mode:"multiple",placeholder:p,onChange:n,value:t,loading:g,className:s,options:c.map(e=>({label:"".concat(e.vector_store_name||e.vector_store_id," (").concat(e.vector_store_id,")"),value:e.vector_store_id,title:e.vector_store_description||e.vector_store_id})),optionFilterProp:"label",showSearch:!0,style:{width:"100%"},disabled:m})})}}},function(e){e.O(0,[9820,1491,1526,2417,3709,9775,7908,9011,5319,7906,4851,6433,9888,8049,1052,2971,2117,1744],function(){return e(e.s=35831)}),_N_E=e.O()}]);
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deleted file mode 100644
index 64b5e1972b..0000000000
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diff --git a/litellm/proxy/_experimental/out/_next/static/css/a94bb091dba1d4f2.css b/litellm/proxy/_experimental/out/_next/static/css/a94bb091dba1d4f2.css
deleted file mode 100644
index beea82334c..0000000000
--- a/litellm/proxy/_experimental/out/_next/static/css/a94bb091dba1d4f2.css
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/litellm/proxy/_experimental/out/experimental/tag-management.txt b/litellm/proxy/_experimental/out/experimental/tag-management.txt
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diff --git a/litellm/proxy/_experimental/out/settings/logging-and-alerts.txt b/litellm/proxy/_experimental/out/settings/logging-and-alerts.txt
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diff --git a/litellm/proxy/_experimental/out/tools/mcp-servers.html b/litellm/proxy/_experimental/out/tools/mcp-servers.html
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diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index 5feb779797..108bef4fff 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -1,22 +1,4 @@
 model_list:
-  - model_name: openai/gpt-4o-mini
+  - model_name: gpt-5-codex
     litellm_params:
-      model: openai/gpt-4o-mini
-      api_key: os.environ/OPENAI_API_KEY
-  - model_name: vertex/gemini-2.5-flash
-    litellm_params:
-      model: gemini/gemini-2.5-flash
-      api_key: os.environ/GEMINI_API_KEY
-  - model_name: anthropic/claude-sonnet-4-5
-    litellm_params:
-      model: anthropic/claude-sonnet-4-5
-      api_key: os.environ/ANTHROPIC_API_KEY
-
-guardrails:
-  - guardrail_name: "bedrock-guardrail"
-    litellm_params:
-      guardrail: bedrock
-      mode: "post_call"
-      guardrailIdentifier: gf3sc1mzinjw
-      guardrailVersion: "DRAFT"
-      disable_exception_on_block: true  # Prevents exceptions when content is blocked
\ No newline at end of file
+      model: gpt-5-codex
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 096bbc029b..e2d68df29d 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -185,6 +185,7 @@ class Litellm_EntityType(enum.Enum):
     TEAM = "team"
     TEAM_MEMBER = "team_member"
     ORGANIZATION = "organization"
+    TAG = "tag"
 
     # global proxy level entity
     PROXY = "proxy"
@@ -2143,6 +2144,30 @@ class LiteLLM_EndUserTable(LiteLLMPydanticObjectBase):
     model_config = ConfigDict(protected_namespaces=())
 
 
+class LiteLLM_TagTable(LiteLLMPydanticObjectBase):
+    tag_name: str
+    description: Optional[str] = None
+    models: List[str] = []
+    model_info: Optional[dict] = None
+    spend: float = 0.0
+    budget_id: Optional[str] = None
+    litellm_budget_table: Optional[LiteLLM_BudgetTable] = None
+    created_at: Optional[datetime] = None
+    created_by: Optional[str] = None
+    updated_at: Optional[datetime] = None
+
+    @model_validator(mode="before")
+    @classmethod
+    def set_model_info(cls, values):
+        if values.get("spend") is None:
+            values.update({"spend": 0.0})
+        if values.get("models") is None:
+            values.update({"models": []})
+        return values
+
+    model_config = ConfigDict(protected_namespaces=())
+
+
 class LiteLLM_SpendLogs(LiteLLMPydanticObjectBase):
     request_id: str
     api_key: str
@@ -3419,6 +3444,7 @@ class DBSpendUpdateTransactions(TypedDict):
     team_list_transactions: Optional[Dict[str, float]]
     team_member_list_transactions: Optional[Dict[str, float]]
     org_list_transactions: Optional[Dict[str, float]]
+    tag_list_transactions: Optional[Dict[str, float]]
 
 
 class SpendUpdateQueueItem(TypedDict, total=False):
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 68708b8fae..d95b7bd03d 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -35,6 +35,7 @@ from litellm.proxy._types import (
     LiteLLM_ObjectPermissionTable,
     LiteLLM_OrganizationMembershipTable,
     LiteLLM_OrganizationTable,
+    LiteLLM_TagTable,
     LiteLLM_TeamMembership,
     LiteLLM_TeamTable,
     LiteLLM_TeamTableCachedObj,
@@ -99,6 +100,8 @@ async def common_checks(
     10. [OPTIONAL] Organization checks - is user_object.organization_id is set, run these checks
     11. [OPTIONAL] Vector store checks - is the object allowed to access the vector store
     """
+    from litellm.proxy.proxy_server import prisma_client, user_api_key_cache
+
     _model: Optional[Union[str, List[str]]] = get_model_from_request(
         request_body, route
     )
@@ -139,6 +142,14 @@ async def common_checks(
         valid_token=valid_token,
     )
 
+    await _tag_max_budget_check(
+        request_body=request_body,
+        prisma_client=prisma_client,
+        user_api_key_cache=user_api_key_cache,
+        proxy_logging_obj=proxy_logging_obj,
+        valid_token=valid_token,
+    )
+
     # 4. If user is in budget
     ## 4.1 check personal budget, if personal key
     if (
@@ -499,6 +510,115 @@ async def get_end_user_object(
         return None
 
 
+@log_db_metrics
+async def get_tag_objects_batch(
+    tag_names: List[str],
+    prisma_client: Optional[PrismaClient],
+    user_api_key_cache: DualCache,
+    parent_otel_span: Optional[Span] = None,
+    proxy_logging_obj: Optional[ProxyLogging] = None,
+) -> Dict[str, LiteLLM_TagTable]:
+    """
+    Batch fetch multiple tag objects from cache and db.
+
+    Optimizes for latency by:
+    1. Fetching all cached tags in parallel
+    2. Batch fetching uncached tags in one DB query
+    
+    Args:
+        tag_names: List of tag names to fetch
+        prisma_client: Prisma database client
+        user_api_key_cache: Cache for storing tag objects
+        parent_otel_span: Optional OpenTelemetry span for tracing
+        proxy_logging_obj: Optional proxy logging object
+        
+    Returns:
+        Dictionary mapping tag_name to LiteLLM_TagTable object
+    """
+    if prisma_client is None:
+        return {}
+
+    if not tag_names:
+        return {}
+
+    tag_objects = {}
+    uncached_tags = []
+
+    # Try to get all tags from cache first
+    for tag_name in tag_names:
+        cache_key = f"tag:{tag_name}"
+        cached_tag = await user_api_key_cache.async_get_cache(key=cache_key)
+        if cached_tag is not None:
+            if isinstance(cached_tag, dict):
+                tag_objects[tag_name] = LiteLLM_TagTable(**cached_tag)
+            else:
+                tag_objects[tag_name] = cached_tag
+        else:
+            uncached_tags.append(tag_name)
+
+    # Batch fetch uncached tags from DB in one query
+    if uncached_tags:
+        try:
+            db_tags = await prisma_client.db.litellm_tagtable.find_many(
+                where={"tag_name": {"in": uncached_tags}},
+                include={"litellm_budget_table": True},
+            )
+
+            # Cache and add to tag_objects
+            for db_tag in db_tags:
+                tag_name = db_tag.tag_name
+                cache_key = f"tag:{tag_name}"
+                # Cache with default TTL (same as end_user objects)
+                await user_api_key_cache.async_set_cache(
+                    key=cache_key, value=db_tag.dict()
+                )
+                tag_objects[tag_name] = LiteLLM_TagTable(**db_tag.dict())
+        except Exception as e:
+            verbose_proxy_logger.debug(
+                f"Error batch fetching tags from database: {e}"
+            )
+
+    return tag_objects
+
+
+@log_db_metrics
+async def get_tag_object(
+    tag_name: Optional[str],
+    prisma_client: Optional[PrismaClient],
+    user_api_key_cache: DualCache,
+    parent_otel_span: Optional[Span] = None,
+    proxy_logging_obj: Optional[ProxyLogging] = None,
+) -> Optional[LiteLLM_TagTable]:
+    """
+    Returns tag object from cache or db.
+
+    Uses default cache TTL (same as end_user objects) to avoid drift.
+    
+    Args:
+        tag_name: Name of the tag to fetch
+        prisma_client: Prisma database client
+        user_api_key_cache: Cache for storing tag objects
+        parent_otel_span: Optional OpenTelemetry span for tracing
+        proxy_logging_obj: Optional proxy logging object
+        
+    Returns:
+        LiteLLM_TagTable object if found, None otherwise
+    """
+    if prisma_client is None or tag_name is None:
+        return None
+
+    # Use batch helper for consistency
+    tag_objects = await get_tag_objects_batch(
+        tag_names=[tag_name],
+        prisma_client=prisma_client,
+        user_api_key_cache=user_api_key_cache,
+        parent_otel_span=parent_otel_span,
+        proxy_logging_obj=proxy_logging_obj,
+    )
+
+    return tag_objects.get(tag_name)
+
+
 @log_db_metrics
 async def get_team_membership(
     user_id: str,
@@ -1642,6 +1762,60 @@ async def _team_max_budget_check(
         )
 
 
+async def _tag_max_budget_check(
+    request_body: dict,
+    prisma_client: Optional[PrismaClient],
+    user_api_key_cache: DualCache,
+    proxy_logging_obj: ProxyLogging,
+    valid_token: Optional[UserAPIKeyAuth],
+):
+    """
+    Check if any tags in the request are over their max budget.
+
+    Raises:
+        BudgetExceededError if any tag is over its max budget.
+        Triggers a budget alert if any tag is over its max budget.
+    """
+    from litellm.proxy.common_utils.http_parsing_utils import (
+        get_tags_from_request_body,
+    )
+
+    if prisma_client is None:
+        return
+
+    # Get tags from request metadata
+    tags = get_tags_from_request_body(request_body=request_body)
+    if not tags:
+        return
+
+    # Batch fetch all tags in one go
+    tag_objects = await get_tag_objects_batch(
+        tag_names=tags,
+        prisma_client=prisma_client,
+        user_api_key_cache=user_api_key_cache,
+        proxy_logging_obj=proxy_logging_obj,
+    )
+
+    # Check budget for each tag
+    for tag_name in tags:
+        tag_object = tag_objects.get(tag_name)
+        if tag_object is None:
+            continue
+
+        # Check if tag has budget limits
+        if (
+            tag_object.litellm_budget_table is not None
+            and tag_object.litellm_budget_table.max_budget is not None
+            and tag_object.spend is not None
+            and tag_object.spend > tag_object.litellm_budget_table.max_budget
+        ):
+            raise litellm.BudgetExceededError(
+                current_cost=tag_object.spend,
+                max_budget=tag_object.litellm_budget_table.max_budget,
+                message=f"Budget has been exceeded! Tag={tag_name} Current cost: {tag_object.spend}, Max budget: {tag_object.litellm_budget_table.max_budget}",
+            )
+
+
 def is_model_allowed_by_pattern(model: str, allowed_model_pattern: str) -> bool:
     """
     Check if a model matches an allowed pattern.
diff --git a/litellm/proxy/common_utils/http_parsing_utils.py b/litellm/proxy/common_utils/http_parsing_utils.py
index fd84eeda08..33d432e869 100644
--- a/litellm/proxy/common_utils/http_parsing_utils.py
+++ b/litellm/proxy/common_utils/http_parsing_utils.py
@@ -7,6 +7,9 @@ from fastapi import Request, UploadFile, status
 
 from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import ProxyException
+from litellm.proxy.common_utils.callback_utils import (
+    get_metadata_variable_name_from_kwargs,
+)
 from litellm.types.router import Deployment
 
 
@@ -245,4 +248,23 @@ async def get_request_body(request: Request) -> Dict[str, Any]:
             raise ValueError(
                 f"Unsupported content type: {request.headers.get('content-type')}"
             )
-    return {}
\ No newline at end of file
+    return {}
+
+
+def get_tags_from_request_body(request_body: dict) -> List[str]:
+    """
+    Extract tags from request body metadata.
+    
+    Args:
+        request_body: The request body dictionary
+        
+    Returns:
+        List of tag names (strings), empty list if no valid tags found
+    """
+    metadata_variable_name = get_metadata_variable_name_from_kwargs(request_body)
+    metadata = request_body.get(metadata_variable_name, {})
+    tags_in_metadata: List[str] = metadata.get("tags", [])
+    tags_in_request_body: List[str] = request_body.get("tags", [])
+    combined_tags: List[str] = tags_in_metadata + tags_in_request_body
+    return [tag for tag in combined_tags if isinstance(tag, str)]
+
diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 3277f19c7d..4258ab41d0 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -17,6 +17,7 @@ import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.caching import DualCache, RedisCache
 from litellm.constants import DB_SPEND_UPDATE_JOB_NAME
+from litellm.litellm_core_utils.safe_json_loads import safe_json_loads
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
     BaseDailySpendTransaction,
@@ -147,6 +148,13 @@ class DBSpendUpdateWriter:
                     prisma_client=prisma_client,
                 )
             )
+            asyncio.create_task(
+                self._update_tag_db(
+                    response_cost=response_cost,
+                    request_tags=payload.get("request_tags"),
+                    prisma_client=prisma_client,
+                )
+            )
 
             if disable_spend_logs is False:
                 await self._insert_spend_log_to_db(
@@ -325,6 +333,54 @@ class DBSpendUpdateWriter:
             )
             raise e
 
+    async def _update_tag_db(
+        self,
+        response_cost: Optional[float],
+        request_tags: Optional[str],
+        prisma_client: Optional[PrismaClient],
+    ):
+        """
+        Update spend for all tags in the request.
+        
+        Args:
+            response_cost: Cost of the request
+            request_tags: JSON string of tags list e.g. '["prod-tag", "test-tag"]'
+            prisma_client: Prisma client instance
+        """
+        try:
+            if request_tags is None or prisma_client is None:
+                return
+
+            # Parse tags from JSON string
+            tags = []
+            if isinstance(request_tags, str):
+                tags = safe_json_loads(request_tags, default=[])
+                if not tags:
+                    verbose_proxy_logger.debug(
+                        f"Failed to parse request_tags JSON: {request_tags}"
+                    )
+                    return
+            elif isinstance(request_tags, list):
+                tags = request_tags
+            else:
+                return
+
+            # Update spend for each tag
+            for tag_name in tags:
+                if tag_name and isinstance(tag_name, str):
+                    await self.spend_update_queue.add_update(
+                        update=SpendUpdateQueueItem(
+                            entity_type=Litellm_EntityType.TAG,
+                            entity_id=tag_name,
+                            response_cost=response_cost,
+                        )
+                    )
+        except Exception as e:
+            verbose_proxy_logger.debug(
+                f"Update Tag DB failed to execute - {str(e)}\n{traceback.format_exc()}"
+            )
+            raise e
+
     async def _insert_spend_log_to_db(
         self,
         payload: Union[dict, SpendLogsPayload],
@@ -775,6 +831,75 @@ class DBSpendUpdateWriter:
                         e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                     )
 
+        ### UPDATE TAG TABLE ###
+        tag_list_transactions = db_spend_update_transactions["tag_list_transactions"]
+        await DBSpendUpdateWriter._update_entity_spend_in_db(
+            entity_name="Tag",
+            transactions=tag_list_transactions,
+            table_accessor="litellm_tagtable",
+            where_field="tag_name",
+            n_retry_times=n_retry_times,
+            prisma_client=prisma_client,
+            proxy_logging_obj=proxy_logging_obj,
+        )
+
+    @staticmethod
+    async def _update_entity_spend_in_db(
+        entity_name: str,
+        transactions: Optional[Dict[str, float]],
+        table_accessor: Any,
+        where_field: str,
+        n_retry_times: int,
+        prisma_client: PrismaClient,
+        proxy_logging_obj: ProxyLogging,
+    ):
+        """
+        Helper function to update spend for any entity type (team, org, tag, etc).
+        
+        Args:
+            entity_name: Name of entity for logging (e.g., "Team", "Org", "Tag")
+            transactions: Dictionary of {entity_id: response_cost}
+            table_accessor: Prisma table accessor (e.g., prisma_client.db.litellm_teamtable)
+            where_field: Field name for where clause (e.g., "team_id", "organization_id", "tag_name")
+            n_retry_times: Number of retries on failure
+            prisma_client: Prisma client instance
+            proxy_logging_obj: Proxy logging object
+        """
+        from litellm.proxy.utils import _raise_failed_update_spend_exception
+
+        verbose_proxy_logger.debug(
+            f"{entity_name} Spend transactions: {transactions}"
+        )
+        if transactions is not None and len(transactions.keys()) > 0:
+            for i in range(n_retry_times + 1):
+                start_time = time.time()
+                try:
+                    async with prisma_client.db.tx(
+                        timeout=timedelta(seconds=60)
+                    ) as transaction:
+                        async with transaction.batch_() as batcher:
+                            for entity_id, response_cost in transactions.items():
+                                verbose_proxy_logger.debug(
+                                    f"Updating spend for {entity_name} {where_field}={entity_id} by {response_cost}"
+                                )
+                                getattr(batcher, table_accessor).update_many(
+                                    where={where_field: entity_id},
+                                    data={"spend": {"increment": response_cost}},
+                                )
+                    break
+                except DB_CONNECTION_ERROR_TYPES as e:
+                    if i >= n_retry_times:
+                        _raise_failed_update_spend_exception(
+                            e=e,
+                            start_time=start_time,
+                            proxy_logging_obj=proxy_logging_obj,
+                        )
+                    await asyncio.sleep(2**i)  # Exponential backoff
+                except Exception as e:
+                    _raise_failed_update_spend_exception(
+                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
+                    )
+
     # fmt: off
 
     @overload
diff --git a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py
index b08a8517ed..91d0bee1d3 100644
--- a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py
+++ b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py
@@ -380,6 +380,7 @@ class RedisUpdateBuffer:
             team_list_transactions={},
             team_member_list_transactions={},
             org_list_transactions={},
+            tag_list_transactions={},
         )
 
         # Define the transaction fields to process
@@ -390,6 +391,7 @@ class RedisUpdateBuffer:
             "team_list_transactions",
             "team_member_list_transactions",
             "org_list_transactions",
+            "tag_list_transactions",
         ]
 
         # Loop through each transaction and combine the values
diff --git a/litellm/proxy/db/db_transaction_queue/spend_update_queue.py b/litellm/proxy/db/db_transaction_queue/spend_update_queue.py
index 98a9e5088a..9b0449bb9a 100644
--- a/litellm/proxy/db/db_transaction_queue/spend_update_queue.py
+++ b/litellm/proxy/db/db_transaction_queue/spend_update_queue.py
@@ -135,6 +135,7 @@ class SpendUpdateQueue(BaseUpdateQueue):
             team_list_transactions={},
             team_member_list_transactions={},
             org_list_transactions={},
+            tag_list_transactions={},
         )
 
         # Map entity types to their corresponding transaction dictionary keys
@@ -145,6 +146,7 @@ class SpendUpdateQueue(BaseUpdateQueue):
             Litellm_EntityType.TEAM: "team_list_transactions",
             Litellm_EntityType.TEAM_MEMBER: "team_member_list_transactions",
             Litellm_EntityType.ORGANIZATION: "org_list_transactions",
+            Litellm_EntityType.TAG: "tag_list_transactions",
         }
 
         for update in updates:
@@ -192,6 +194,10 @@ class SpendUpdateQueue(BaseUpdateQueue):
                 transactions_dict = db_spend_update_transactions[
                     "org_list_transactions"
                 ]
+            elif dict_key == "tag_list_transactions":
+                transactions_dict = db_spend_update_transactions[
+                    "tag_list_transactions"
+                ]
             else:
                 continue
 
diff --git a/litellm/proxy/health_check_utils/shared_health_check_manager.py b/litellm/proxy/health_check_utils/shared_health_check_manager.py
index 98e0edb68b..cfd03a4d17 100644
--- a/litellm/proxy/health_check_utils/shared_health_check_manager.py
+++ b/litellm/proxy/health_check_utils/shared_health_check_manager.py
@@ -1,12 +1,11 @@
 import asyncio
 import json
 import time
-from typing import Any, Dict, List, Optional, Tuple, Union
+from typing import Any, Dict, List, Optional, Tuple
 
 from litellm._logging import verbose_proxy_logger
 from litellm.caching.redis_cache import RedisCache
 from litellm.constants import (
-    DEFAULT_HEALTH_CHECK_INTERVAL,
     DEFAULT_SHARED_HEALTH_CHECK_TTL,
     DEFAULT_SHARED_HEALTH_CHECK_LOCK_TTL,
 )
diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py
index 6bb9d893a1..e5d83d6019 100644
--- a/litellm/proxy/health_endpoints/_health_endpoints.py
+++ b/litellm/proxy/health_endpoints/_health_endpoints.py
@@ -641,10 +641,10 @@ async def shared_health_check_status_endpoint(
             redis_cache=redis_usage_cache,
         )
         
-        status = await shared_health_manager.get_health_check_status()
+        health_status = await shared_health_manager.get_health_check_status()
         return {
             "shared_health_check_enabled": True,
-            "status": status
+            "status": health_status
         }
     except Exception as e:
         verbose_proxy_logger.error(f"Error getting shared health check status: {e}")
diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py
index 08e6540f76..17b91db69e 100644
--- a/litellm/proxy/hooks/proxy_track_cost_callback.py
+++ b/litellm/proxy/hooks/proxy_track_cost_callback.py
@@ -1,7 +1,7 @@
 import asyncio
 import traceback
 from datetime import datetime
-from typing import Any, Optional, Union, cast
+from typing import Any, List, Optional, Union, cast
 
 import litellm
 from litellm._logging import verbose_proxy_logger
@@ -131,6 +131,11 @@ class _ProxyDBLogger(CustomLogger):
                 if sl_object is not None
                 else kwargs.get("response_cost", None)
             )
+            tags: Optional[List[str]] = (
+                sl_object.get("request_tags", None)
+                if sl_object is not None
+                else None
+            )
 
             if response_cost is not None:
                 user_api_key = metadata.get("user_api_key", None)
@@ -172,6 +177,7 @@ class _ProxyDBLogger(CustomLogger):
                             response_cost=response_cost,
                             team_id=team_id,
                             parent_otel_span=parent_otel_span,
+                            tags=tags,
                         )
                     )
 
diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py
index 2b52b6fc51..c477c57a1f 100644
--- a/litellm/proxy/management_endpoints/organization_endpoints.py
+++ b/litellm/proxy/management_endpoints/organization_endpoints.py
@@ -11,12 +11,12 @@ Endpoints for /organization operations
 
 #### ORGANIZATION MANAGEMENT ####
 
-from litellm._uuid import uuid
 from typing import List, Optional, Tuple
 
 from fastapi import APIRouter, Depends, HTTPException, Request, status
 
 from litellm._logging import verbose_proxy_logger
+from litellm._uuid import uuid
 from litellm.proxy._types import *
 from litellm.proxy.auth.auth_checks import can_user_call_model
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
@@ -967,4 +967,4 @@ async def add_member_to_organization(
     except Exception as e:
         raise ValueError(
             f"Error adding member={member} to organization={organization_id}: {e}"
-        )
+        )
\ No newline at end of file
diff --git a/litellm/proxy/management_endpoints/tag_management_endpoints.py b/litellm/proxy/management_endpoints/tag_management_endpoints.py
index 0bd7b3eb84..1366c2ef4e 100644
--- a/litellm/proxy/management_endpoints/tag_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/tag_management_endpoints.py
@@ -11,7 +11,6 @@ All /tag management endpoints
 """
 
 import asyncio
-import datetime
 import json
 from typing import TYPE_CHECKING, Dict, List, Optional
 
@@ -25,6 +24,7 @@ from litellm.proxy.management_endpoints.common_daily_activity import (
     SpendAnalyticsPaginatedResponse,
     get_daily_activity,
 )
+from litellm.proxy.management_helpers.utils import handle_budget_for_entity
 from litellm.types.tag_management import (
     LiteLLM_DailyTagSpendTable,
     TagConfig,
@@ -53,69 +53,6 @@ async def _get_model_names(prisma_client, model_ids: list) -> Dict[str, str]:
         return {}
 
 
-async def _get_tags_config(prisma_client) -> Dict[str, TagConfig]:
-    """Helper function to get tags config from db"""
-    try:
-        tags_config = await prisma_client.db.litellm_config.find_unique(
-            where={"param_name": "tags_config"}
-        )
-        if tags_config is None:
-            return {}
-        # Convert from JSON if needed
-        if isinstance(tags_config.param_value, str):
-            config_dict = json.loads(tags_config.param_value)
-        else:
-            config_dict = tags_config.param_value or {}
-
-        # For each tag, get the model names
-        for tag_name, tag_config in config_dict.items():
-            if isinstance(tag_config, dict) and tag_config.get("models"):
-                model_info = await _get_model_names(prisma_client, tag_config["models"])
-                tag_config["model_info"] = model_info
-
-        return config_dict
-    except Exception:
-        return {}
-
-
-async def _save_tags_config(prisma_client, tags_config: Dict[str, TagConfig]):
-    """Helper function to save tags config to db"""
-    try:
-        verbose_proxy_logger.debug(f"Saving tags config: {tags_config}")
-        # Convert TagConfig objects to dictionaries
-        tags_config_dict = {}
-        for name, tag in tags_config.items():
-            if isinstance(tag, TagConfig):
-                tag_dict = tag.model_dump()
-                # Remove model_info before saving as it will be dynamically generated
-                if "model_info" in tag_dict:
-                    del tag_dict["model_info"]
-                tags_config_dict[name] = tag_dict
-            else:
-                # If it's already a dict, remove model_info
-                tag_copy = tag.copy()
-                if "model_info" in tag_copy:
-                    del tag_copy["model_info"]
-                tags_config_dict[name] = tag_copy
-
-        json_tags_config = json.dumps(tags_config_dict, default=str)
-        verbose_proxy_logger.debug(f"JSON tags config: {json_tags_config}")
-        await prisma_client.db.litellm_config.upsert(
-            where={"param_name": "tags_config"},
-            data={
-                "create": {
-                    "param_name": "tags_config",
-                    "param_value": json_tags_config,
-                },
-                "update": {"param_value": json_tags_config},
-            },
-        )
-    except Exception as e:
-        raise HTTPException(
-            status_code=500, detail=f"Error saving tags config: {str(e)}"
-        )
-
-
 async def get_deployments_by_model(
     model: str, llm_router: "Router"
 ) -> List["Deployment"]:
@@ -159,9 +96,23 @@ async def new_tag(
     - name: str - The name of the tag
     - description: Optional[str] - Description of what this tag represents
     - models: List[str] - List of either 'model_id' or 'model_name' allowed for this tag
+    - budget_id: Optional[str] - The id for a budget (tpm/rpm/max budget) for the tag
+    
+    ### IF NO BUDGET ID - CREATE ONE WITH THESE PARAMS ###
+    - max_budget: Optional[float] - Max budget for tag
+    - tpm_limit: Optional[int] - Max tpm limit for tag
+    - rpm_limit: Optional[int] - Max rpm limit for tag
+    - max_parallel_requests: Optional[int] - Max parallel requests for tag
+    - soft_budget: Optional[float] - Get a slack alert when this soft budget is reached
+    - model_max_budget: Optional[dict] - Max budget for a specific model
+    - budget_duration: Optional[str] - Frequency of resetting tag budget
     """
     from litellm.proxy._types import CommonProxyErrors
-    from litellm.proxy.proxy_server import llm_router, prisma_client
+    from litellm.proxy.proxy_server import (
+        litellm_proxy_admin_name,
+        llm_router,
+        prisma_client,
+    )
 
     if prisma_client is None:
         raise HTTPException(
@@ -172,29 +123,38 @@ async def new_tag(
             status_code=500, detail=CommonProxyErrors.no_llm_router.value
         )
     try:
-        # Get existing tags config
-        tags_config = await _get_tags_config(prisma_client)
-
         # Check if tag already exists
-        if tag.name in tags_config:
+        existing_tag = await prisma_client.db.litellm_tagtable.find_unique(
+            where={"tag_name": tag.name}
+        )
+        if existing_tag is not None:
             raise HTTPException(
                 status_code=400, detail=f"Tag {tag.name} already exists"
             )
 
-        # Add new tag
-        tags_config[tag.name] = TagConfig(
-            name=tag.name,
-            description=tag.description,
-            models=tag.models,
-            created_at=str(datetime.datetime.now()),
-            updated_at=str(datetime.datetime.now()),
-            created_by=user_api_key_dict.user_id,
+        # Handle budget creation/assignment using common helper
+        budget_id = await handle_budget_for_entity(
+            data=tag,
+            existing_budget_id=None,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+            litellm_proxy_admin_name=litellm_proxy_admin_name,
         )
 
-        # Save updated config
-        await _save_tags_config(
-            prisma_client=prisma_client,
-            tags_config=tags_config,
+        # Get model names for model_info
+        model_info = await _get_model_names(prisma_client, tag.models or [])
+
+        # Create new tag in database
+        new_tag_record = await prisma_client.db.litellm_tagtable.create(
+            data={
+                "tag_name": tag.name,
+                "description": tag.description,
+                "models": tag.models or [],
+                "model_info": json.dumps(model_info),
+                "spend": 0.0,
+                "budget_id": budget_id,
+                "created_by": user_api_key_dict.user_id,
+            }
         )
 
         # Update models with new tag
@@ -213,13 +173,20 @@ async def new_tag(
                 )
             await asyncio.gather(*tasks)
 
-        # Get model names for response
-        model_info = await _get_model_names(prisma_client, tag.models or [])
-        tags_config[tag.name].model_info = model_info
+        # Build response
+        tag_config = TagConfig(
+            name=new_tag_record.tag_name,
+            description=new_tag_record.description,
+            models=new_tag_record.models,
+            model_info=model_info,
+            created_at=new_tag_record.created_at.isoformat(),
+            updated_at=new_tag_record.updated_at.isoformat(),
+            created_by=new_tag_record.created_by,
+        )
 
         return {
             "message": f"Tag {tag.name} created successfully",
-            "tag": tags_config[tag.name],
+            "tag": tag_config,
         }
     except Exception as e:
         verbose_proxy_logger.exception(f"Error creating tag: {str(e)}")
@@ -264,6 +231,16 @@ async def update_tag(
     - name: str - The name of the tag to update
     - description: Optional[str] - Updated description
     - models: List[str] - Updated list of allowed LLM models
+    - budget_id: Optional[str] - The id for a budget to associate with the tag
+    
+    ### BUDGET UPDATE PARAMS ###
+    - max_budget: Optional[float] - Max budget for tag
+    - tpm_limit: Optional[int] - Max tpm limit for tag
+    - rpm_limit: Optional[int] - Max rpm limit for tag
+    - max_parallel_requests: Optional[int] - Max parallel requests for tag
+    - soft_budget: Optional[float] - Get a slack alert when this soft budget is reached
+    - model_max_budget: Optional[dict] - Max budget for a specific model
+    - budget_duration: Optional[str] - Frequency of resetting tag budget
     """
     from litellm.proxy.proxy_server import prisma_client
 
@@ -271,35 +248,58 @@ async def update_tag(
         raise HTTPException(status_code=500, detail="Database not connected")
 
     try:
-        # Get existing tags config
-        tags_config = await _get_tags_config(prisma_client)
-
         # Check if tag exists
-        if tag.name not in tags_config:
+        existing_tag = await prisma_client.db.litellm_tagtable.find_unique(
+            where={"tag_name": tag.name}
+        )
+        if existing_tag is None:
             raise HTTPException(status_code=404, detail=f"Tag {tag.name} not found")
 
-        # Update tag
-        tag_config_dict = dict(tags_config[tag.name])
-        tag_config_dict.update(
-            {
-                "description": tag.description,
-                "models": tag.models,
-                "updated_at": str(datetime.datetime.now()),
-                "updated_by": user_api_key_dict.user_id,
-            }
+        from litellm.proxy.proxy_server import litellm_proxy_admin_name
+
+        # Handle budget updates using common helper
+        budget_id = await handle_budget_for_entity(
+            data=tag,
+            existing_budget_id=existing_tag.budget_id,
+            user_api_key_dict=user_api_key_dict,
+            prisma_client=prisma_client,
+            litellm_proxy_admin_name=litellm_proxy_admin_name,
         )
-        tags_config[tag.name] = TagConfig(**tag_config_dict)
 
-        # Save updated config
-        await _save_tags_config(prisma_client, tags_config)
-
-        # Get model names for response
+        # Get model names for model_info
         model_info = await _get_model_names(prisma_client, tag.models or [])
-        tags_config[tag.name].model_info = model_info
+
+        # Prepare update data
+        update_data = {
+            "description": tag.description,
+            "models": tag.models or [],
+            "model_info": json.dumps(model_info),
+        }
+        
+        # Add budget_id if it changed
+        if budget_id != existing_tag.budget_id:
+            update_data["budget_id"] = budget_id
+
+        # Update tag in database
+        updated_tag_record = await prisma_client.db.litellm_tagtable.update(
+            where={"tag_name": tag.name},
+            data=update_data,
+        )
+
+        # Build response
+        tag_config = TagConfig(
+            name=updated_tag_record.tag_name,
+            description=updated_tag_record.description,
+            models=updated_tag_record.models,
+            model_info=model_info,
+            created_at=updated_tag_record.created_at.isoformat(),
+            updated_at=updated_tag_record.updated_at.isoformat(),
+            created_by=updated_tag_record.created_by,
+        )
 
         return {
             "message": f"Tag {tag.name} updated successfully",
-            "tag": tags_config[tag.name],
+            "tag": tag_config,
         }
     except Exception as e:
         verbose_proxy_logger.exception(f"Error updating tag: {str(e)}")
@@ -327,18 +327,47 @@ async def info_tag(
         raise HTTPException(status_code=500, detail="Database not connected")
 
     try:
-        tags_config = await _get_tags_config(prisma_client)
-
-        # Filter tags based on requested names
-        requested_tags = {name: tags_config.get(name) for name in data.names}
+        # Query tags from database with budget info
+        tag_records = await prisma_client.db.litellm_tagtable.find_many(
+            where={"tag_name": {"in": data.names}},
+            include={"litellm_budget_table": True},
+        )
 
         # Check if any requested tags don't exist
-        missing_tags = [name for name in data.names if name not in tags_config]
+        found_tag_names = {tag.tag_name for tag in tag_records}
+        missing_tags = [name for name in data.names if name not in found_tag_names]
         if missing_tags:
             raise HTTPException(
                 status_code=404, detail=f"Tags not found: {missing_tags}"
             )
 
+        # Build response
+        requested_tags = {}
+        for tag_record in tag_records:
+            # Parse model_info from JSON
+            model_info = {}
+            if tag_record.model_info:
+                if isinstance(tag_record.model_info, str):
+                    model_info = json.loads(tag_record.model_info)
+                else:
+                    model_info = tag_record.model_info
+
+            tag_dict = {
+                "name": tag_record.tag_name,
+                "description": tag_record.description,
+                "models": tag_record.models,
+                "model_info": model_info,
+                "created_at": tag_record.created_at.isoformat(),
+                "updated_at": tag_record.updated_at.isoformat(),
+                "created_by": tag_record.created_by,
+            }
+
+            # Add budget info if available
+            if hasattr(tag_record, "litellm_budget_table") and tag_record.litellm_budget_table:
+                tag_dict["litellm_budget_table"] = tag_record.litellm_budget_table
+
+            requested_tags[tag_record.tag_name] = tag_dict
+
         return requested_tags
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
@@ -348,13 +377,12 @@ async def info_tag(
     "/tag/list",
     tags=["tag management"],
     dependencies=[Depends(user_api_key_auth)],
-    response_model=List[TagConfig],
 )
 async def list_tags(
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
 ):
     """
-    List all available tags.
+    List all available tags with their budget information.
     """
     from litellm.proxy.proxy_server import prisma_client
 
@@ -363,8 +391,37 @@ async def list_tags(
 
     try:
         ## QUERY STORED TAGS ##
-        tags_config = await _get_tags_config(prisma_client)
-        list_of_tags = list(tags_config.values())
+        tag_records = await prisma_client.db.litellm_tagtable.find_many(
+            include={"litellm_budget_table": True}
+        )
+
+        stored_tag_names = set()
+        list_of_tags = []
+        for tag_record in tag_records:
+            stored_tag_names.add(tag_record.tag_name)
+            # Parse model_info from JSON
+            model_info = {}
+            if tag_record.model_info:
+                if isinstance(tag_record.model_info, str):
+                    model_info = json.loads(tag_record.model_info)
+                else:
+                    model_info = tag_record.model_info
+
+            tag_dict = {
+                "name": tag_record.tag_name,
+                "description": tag_record.description,
+                "models": tag_record.models,
+                "model_info": model_info,
+                "created_at": tag_record.created_at.isoformat(),
+                "updated_at": tag_record.updated_at.isoformat(),
+                "created_by": tag_record.created_by,
+            }
+
+            # Add budget info if available
+            if hasattr(tag_record, "litellm_budget_table") and tag_record.litellm_budget_table:
+                tag_dict["litellm_budget_table"] = tag_record.litellm_budget_table
+
+            list_of_tags.append(tag_dict)
 
         ## QUERY DYNAMIC TAGS ##
         dynamic_tags = await prisma_client.db.litellm_dailytagspend.find_many(
@@ -377,15 +434,15 @@ async def list_tags(
         ]
 
         dynamic_tag_config = [
-            TagConfig(
-                name=tag.tag,
-                description="This is just a spend tag that was passed dynamically in a request. It does not control any LLM models.",
-                models=None,
-                created_at=tag.created_at.isoformat(),
-                updated_at=tag.updated_at.isoformat(),
-            )
+            {
+                "name": tag.tag,
+                "description": "This is just a spend tag that was passed dynamically in a request. It does not control any LLM models.",
+                "models": None,
+                "created_at": tag.created_at.isoformat(),
+                "updated_at": tag.updated_at.isoformat(),
+            }
             for tag in dynamic_tags_list
-            if tag.tag not in tags_config
+            if tag.tag not in stored_tag_names
         ]
 
         return list_of_tags + dynamic_tag_config
@@ -414,18 +471,15 @@ async def delete_tag(
         raise HTTPException(status_code=500, detail="Database not connected")
 
     try:
-        # Get existing tags config
-        tags_config = await _get_tags_config(prisma_client)
-
         # Check if tag exists
-        if data.name not in tags_config:
+        existing_tag = await prisma_client.db.litellm_tagtable.find_unique(
+            where={"tag_name": data.name}
+        )
+        if existing_tag is None:
             raise HTTPException(status_code=404, detail=f"Tag {data.name} not found")
 
-        # Delete tag
-        del tags_config[data.name]
-
-        # Save updated config
-        await _save_tags_config(prisma_client, tags_config)
+        # Delete tag from database
+        await prisma_client.db.litellm_tagtable.delete(where={"tag_name": data.name})
 
         return {"message": f"Tag {data.name} deleted successfully"}
     except Exception as e:
diff --git a/litellm/proxy/management_helpers/utils.py b/litellm/proxy/management_helpers/utils.py
index 3eab444418..67a1ea659f 100644
--- a/litellm/proxy/management_helpers/utils.py
+++ b/litellm/proxy/management_helpers/utils.py
@@ -10,10 +10,12 @@ import litellm
 from litellm._logging import verbose_logger
 from litellm._uuid import uuid
 from litellm.proxy._types import (  # key request types; user request types; team request types; customer request types
+    BudgetNewRequest,
     DeleteCustomerRequest,
     DeleteTeamRequest,
     DeleteUserRequest,
     KeyRequest,
+    LiteLLM_BudgetTable,
     LiteLLM_TeamMembership,
     LiteLLM_UserTable,
     ManagementEndpointLoggingPayload,
@@ -53,6 +55,89 @@ def get_new_internal_user_defaults(
     return non_null_dict
 
 
+async def handle_budget_for_entity(
+    data,
+    existing_budget_id: Optional[str],
+    user_api_key_dict: UserAPIKeyAuth,
+    prisma_client: PrismaClient,
+    litellm_proxy_admin_name: str,
+) -> Optional[str]:
+    """
+    Common helper to handle budget creation/updates for entities (organizations, tags, etc).
+    
+    This function:
+    1. Creates a new budget if budget_id is None but budget fields are provided
+    2. Updates an existing budget if budget fields are provided and budget_id exists
+    3. Returns the budget_id to use (existing or newly created)
+    
+    Args:
+        data: The request object (e.g., TagNewRequest, NewOrganizationRequest, etc.) containing budget fields
+        existing_budget_id: The existing budget_id if updating an entity, None if creating new
+        user_api_key_dict: User authentication info
+        prisma_client: Database client
+        litellm_proxy_admin_name: Admin name for audit trail
+        
+    Returns:
+        Optional[str]: The budget_id to use, or None if no budget was created/updated
+    """
+    from litellm.proxy.management_endpoints.budget_management_endpoints import (
+        update_budget,
+    )
+
+    # Get all budget field names
+    budget_params = LiteLLM_BudgetTable.model_fields.keys()
+
+    # Extract budget fields from data
+    _json_data = data.model_dump(exclude_none=True) if hasattr(data, "model_dump") else data
+    _budget_data = {k: v for k, v in _json_data.items() if k in budget_params}
+
+    # Check if budget_id is explicitly provided in the data
+    data_budget_id = getattr(data, "budget_id", None)
+
+    # Case 1: Creating new entity - no existing budget_id
+    if existing_budget_id is None:
+        if data_budget_id is not None:
+            # Use the provided budget_id
+            return data_budget_id
+        elif _budget_data:
+            # Create a new budget with the provided fields
+            budget_row = LiteLLM_BudgetTable(**_budget_data)
+            new_budget_data = prisma_client.jsonify_object(
+                budget_row.model_dump(exclude_none=True)
+            )
+
+            _budget = await prisma_client.db.litellm_budgettable.create(
+                data={
+                    **new_budget_data,  # type: ignore
+                    "created_by": user_api_key_dict.user_id or litellm_proxy_admin_name,
+                    "updated_by": user_api_key_dict.user_id or litellm_proxy_admin_name,
+                }
+            )  # type: ignore
+
+            return _budget.budget_id
+        else:
+            # No budget fields provided, no budget to create
+            return None
+
+    # Case 2: Updating existing entity - has existing budget_id
+    else:
+        # If budget fields are provided, update the existing budget
+        if _budget_data:
+            await update_budget(
+                budget_obj=BudgetNewRequest(
+                    budget_id=existing_budget_id, **_budget_data
+                ),
+                user_api_key_dict=user_api_key_dict,
+            )
+
+        # If a different budget_id is explicitly provided, use that instead
+        if data_budget_id is not None and data_budget_id != existing_budget_id:
+            return data_budget_id
+
+        # Otherwise, keep using the existing budget_id
+        return existing_budget_id
+
+
 async def add_new_member(
     new_member: Member,
     max_budget_in_team: Optional[float],
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index a4e759343b..be0f7d6be0 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -33,9 +33,9 @@ from litellm.constants import (
     AIOHTTP_TTL_DNS_CACHE,
     BASE_MCP_ROUTE,
     DEFAULT_MAX_RECURSE_DEPTH,
-    DEFAULT_SLACK_ALERTING_THRESHOLD,
-    DEFAULT_SHARED_HEALTH_CHECK_TTL,
     DEFAULT_SHARED_HEALTH_CHECK_LOCK_TTL,
+    DEFAULT_SHARED_HEALTH_CHECK_TTL,
+    DEFAULT_SLACK_ALERTING_THRESHOLD,
     LITELLM_EMBEDDING_PROVIDERS_SUPPORTING_INPUT_ARRAY_OF_TOKENS,
     LITELLM_SETTINGS_SAFE_DB_OVERRIDES,
 )
@@ -1157,6 +1157,7 @@ async def update_cache(  # noqa: PLR0915
     team_id: Optional[str],
     response_cost: Optional[float],
     parent_otel_span: Optional[Span],  # type: ignore
+    tags: Optional[List[str]] = None,
 ):
     """
     Use this to update the cache with new user spend.
@@ -1377,6 +1378,50 @@ async def update_cache(  # noqa: PLR0915
                 f"An error occurred updating end user cache: {str(e)}"
             )
 
+    ### UPDATE TAG SPEND ###
+    async def _update_tag_cache():
+        """
+        Update the tag cache with the new spend.
+        """
+        if tags is None or response_cost is None:
+            return
+        
+        try:
+            for tag_name in tags:
+                if not tag_name or not isinstance(tag_name, str):
+                    continue
+                
+                cache_key = f"tag:{tag_name}"
+                # Fetch the existing tag object from cache
+                existing_tag_obj = await user_api_key_cache.async_get_cache(key=cache_key)
+                if existing_tag_obj is None:
+                    # do nothing if tag not in api key cache
+                    continue
+                
+                verbose_proxy_logger.debug(
+                    f"_update_tag_cache: existing spend for tag={tag_name}: {existing_tag_obj}; response_cost: {response_cost}"
+                )
+                
+                if isinstance(existing_tag_obj, dict):
+                    existing_spend = existing_tag_obj.get("spend", 0) or 0
+                else:
+                    existing_spend = getattr(existing_tag_obj, "spend", 0) or 0
+                
+                # Calculate the new cost by adding the existing cost and response_cost
+                new_spend = existing_spend + response_cost
+                
+                # Update the spend column for the given tag
+                if isinstance(existing_tag_obj, dict):
+                    existing_tag_obj["spend"] = new_spend
+                    values_to_update_in_cache.append((cache_key, existing_tag_obj))
+                else:
+                    existing_tag_obj.spend = new_spend
+                    values_to_update_in_cache.append((cache_key, existing_tag_obj))
+        except Exception as e:
+            verbose_proxy_logger.exception(
+                f"An error occurred updating tag cache: {str(e)}"
+            )
+
     if token is not None and response_cost is not None:
         await _update_key_cache(token=token, response_cost=response_cost)
 
@@ -1389,6 +1434,9 @@ async def update_cache(  # noqa: PLR0915
     if team_id is not None:
         await _update_team_cache()
 
+    if tags is not None:
+        await _update_tag_cache()
+
     asyncio.create_task(
         user_api_key_cache.async_set_cache_pipeline(
             cache_list=values_to_update_in_cache,
@@ -1431,7 +1479,9 @@ async def _run_background_health_check():
     # Initialize shared health check manager if Redis is available and feature is enabled
     shared_health_manager = None
     if use_shared_health_check and redis_usage_cache is not None:
-        from litellm.proxy.health_check_utils.shared_health_check_manager import SharedHealthCheckManager
+        from litellm.proxy.health_check_utils.shared_health_check_manager import (
+            SharedHealthCheckManager,
+        )
         shared_health_manager = SharedHealthCheckManager(
             redis_cache=redis_usage_cache,
             health_check_ttl=DEFAULT_SHARED_HEALTH_CHECK_TTL,
@@ -1451,10 +1501,13 @@ async def _run_background_health_check():
         ]
 
         # Use shared health check if available, otherwise fall back to direct health check
+        # Convert health_check_details to bool for perform_shared_health_check (defaults to True if None)
+        details_bool = health_check_details if health_check_details is not None else True
+        
         if shared_health_manager is not None:
             try:
                 healthy_endpoints, unhealthy_endpoints = await shared_health_manager.perform_shared_health_check(
-                    model_list=_llm_model_list, details=health_check_details
+                    model_list=_llm_model_list, details=details_bool
                 )
             except Exception as e:
                 verbose_proxy_logger.error(
diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index 625897c3ca..a13af1afc5 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -25,6 +25,7 @@ model LiteLLM_BudgetTable {
   organization LiteLLM_OrganizationTable[] // multiple orgs can have the same budget
   keys LiteLLM_VerificationToken[] // multiple keys can have the same budget
   end_users LiteLLM_EndUserTable[] // multiple end-users can have the same budget
+  tags LiteLLM_TagTable[] // multiple tags can have the same budget
   team_membership LiteLLM_TeamMembership[] // budgets of Users within a Team 
   organization_membership LiteLLM_OrganizationMembership[] // budgets of Users within a Organization 
 }
@@ -245,6 +246,20 @@ model LiteLLM_EndUserTable {
   blocked Boolean @default(false)
 }
 
+// Track tags with budgets and spend
+model LiteLLM_TagTable {
+  tag_name String @id
+  description String?
+  models String[]
+  model_info Json? // maps model_id to model_name
+  spend Float @default(0.0)
+  budget_id String?
+  litellm_budget_table LiteLLM_BudgetTable? @relation(fields: [budget_id], references: [budget_id])
+  created_at DateTime @default(now()) @map("created_at")
+  created_by String?
+  updated_at DateTime @default(now()) @updatedAt @map("updated_at")
+}
+
 // store proxy config.yaml
 model LiteLLM_Config {
   param_name String @id
diff --git a/litellm/types/llms/oci.py b/litellm/types/llms/oci.py
index 56fd61ad7e..b9a82cc8b7 100644
--- a/litellm/types/llms/oci.py
+++ b/litellm/types/llms/oci.py
@@ -15,6 +15,7 @@ class OCIVendors(Enum):
     """
 
     COHERE = "COHERE"
+    GEMINI = "GEMINI"
     GENERIC = "GENERIC"
 
 
@@ -108,7 +109,7 @@ class OCICompletionPayload(BaseModel):
 
     compartmentId: str
     servingMode: OCIServingMode
-    chatRequest: OCIChatRequestPayload
+    chatRequest: Union[OCIChatRequestPayload, CohereChatRequest]
 
 
 # --- API Response Models (Non-streaming) ---
@@ -181,3 +182,191 @@ class OCIStreamChunk(BaseModel):
     message: Optional[OCIStreamDelta] = None
     pad: Optional[str] = None
     index: Optional[int] = None
+
+
+# --- Cohere-Specific Models ---
+
+class CohereStreamChunk(BaseModel):
+    """Model for a single SSE event chunk from OCI Cohere API."""
+
+    apiFormat: str
+    text: Optional[str] = None
+    chatHistory: Optional[List[CohereMessage]] = None
+    finishReason: Optional[str] = None
+    pad: Optional[str] = None
+    index: Optional[int] = None
+
+class CohereMessage(BaseModel):
+    """Base model for Cohere messages."""
+    
+    role: str
+    message: str
+    toolCalls: Optional[List[CohereToolCall]] = None
+
+
+class CohereUserMessage(CohereMessage):
+    """User message in Cohere chat."""
+    
+    role: Literal["USER"] = "USER"
+
+
+class CohereChatBotMessage(CohereMessage):
+    """Chatbot message in Cohere chat."""
+    
+    role: Literal["CHATBOT"] = "CHATBOT"
+
+
+class CohereSystemMessage(CohereMessage):
+    """System message in Cohere chat."""
+    
+    role: Literal["SYSTEM"] = "SYSTEM"
+
+
+class CohereToolMessage(CohereMessage):
+    """Tool message in Cohere chat."""
+    
+    role: Literal["TOOL"] = "TOOL"
+    toolCallId: str
+
+
+class CohereParameterDefinition(BaseModel):
+    """Parameter definition for Cohere tools."""
+    
+    description: str
+    type: str
+    isRequired: bool = False
+
+
+class CohereTool(BaseModel):
+    """Tool definition for Cohere."""
+    
+    name: str
+    description: str
+    parameterDefinitions: Dict[str, CohereParameterDefinition]
+
+
+class CohereToolCall(BaseModel):
+    """Tool call made by Cohere model."""
+    
+    name: str
+    parameters: Dict[str, Any]
+
+
+class CohereToolResult(BaseModel):
+    """Result of a tool call."""
+    
+    callId: str
+    result: str
+
+
+class CohereResponseFormat(BaseModel):
+    """Response format for Cohere."""
+    
+    type: str
+
+
+class CohereResponseTextFormat(CohereResponseFormat):
+    """Text response format for Cohere."""
+    
+    type: Literal["text"] = "text"
+
+
+
+class CohereChatRequest(BaseModel):
+    """Cohere chat request model."""
+    
+    # Required fields
+    message: str
+    apiFormat: Literal["COHERE"] = "COHERE"
+    
+    # Optional fields
+    chatHistory: Optional[List[CohereMessage]] = None
+    maxTokens: Optional[int] = None
+    temperature: Optional[float] = None
+    topP: Optional[float] = None
+    topK: Optional[int] = None
+    frequencyPenalty: Optional[float] = None
+    presencePenalty: Optional[float] = None
+    stopSequences: Optional[List[str]] = None
+    seed: Optional[int] = None
+    tools: Optional[List[CohereTool]] = None
+    toolChoice: Optional[Union[str, Dict[str, Any]]] = None
+    responseFormat: Optional[CohereResponseFormat] = None
+    preambleOverride: Optional[str] = None
+    documents: Optional[List[Dict[str, Any]]] = None
+    searchQueriesOnly: Optional[bool] = None
+    searchEntryPoint: Optional[str] = None
+    grounding: Optional[Dict[str, Any]] = None
+    isEcho: Optional[bool] = None
+    isSearchQueriesOnly: Optional[bool] = None
+    isRawPrompting: Optional[bool] = None
+    isForceSingleStep: Optional[bool] = None
+    promptTruncation: Optional[str] = None
+    safetyMode: Optional[str] = None
+    citationQuality: Optional[str] = None
+    maxInputTokens: Optional[int] = None
+    isStream: Optional[bool] = None
+    streamOptions: Optional[Dict[str, Any]] = None
+
+
+class CohereUsage(BaseModel):
+    """Usage information for Cohere response."""
+    
+    promptTokens: int
+    completionTokens: int
+    totalTokens: int
+    promptTokensDetails: Optional[Dict[str, Any]] = None
+    completionTokensDetails: Optional[Dict[str, Any]] = None
+
+
+class CohereCitation(BaseModel):
+    """Citation in Cohere response."""
+    
+    start: int
+    end: int
+    text: str
+    document_ids: List[str]
+
+
+class CohereSearchQuery(BaseModel):
+    """Search query generated by Cohere."""
+    
+    text: str
+    generation_id: str
+
+
+class CohereChatResponse(BaseModel):
+    """Cohere chat response model."""
+    
+    # Required fields
+    text: str
+    apiFormat: Literal["COHERE"] = "COHERE"
+    finishReason: Literal["COMPLETE", "ERROR_TOXIC", "ERROR_LIMIT", "ERROR", "USER_CANCEL", "MAX_TOKENS"]
+    
+    # Optional fields
+    chatHistory: Optional[List[CohereMessage]] = None
+    citations: Optional[List[CohereCitation]] = None
+    documents: Optional[List[Dict[str, Any]]] = None
+    errorMessage: Optional[str] = None
+    isSearchRequired: Optional[bool] = None
+    prompt: Optional[str] = None
+    searchQueries: Optional[List[CohereSearchQuery]] = None
+    toolCalls: Optional[List[CohereToolCall]] = None
+    usage: Optional[CohereUsage] = None
+
+
+class CohereChatDetails(BaseModel):
+    """Chat details for Cohere request."""
+    
+    compartmentId: str
+    servingMode: OCIServingMode
+    chatRequest: CohereChatRequest
+
+
+class CohereChatResult(BaseModel):
+    """Complete Cohere chat result."""
+    
+    modelId: str
+    modelVersion: str
+    chatResponse: CohereChatResponse
+
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index b1f43efedf..5306dc8bfc 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -1056,11 +1056,11 @@ class ResponsesAPIResponse(BaseLiteLLMOpenAIResponseObject):
         List[Union[ResponseOutputItem, Dict]],
         List[Union[GenericResponseOutputItem, OutputFunctionToolCall]],
     ]
-    parallel_tool_calls: bool
+    parallel_tool_calls: Optional[bool] = None
     temperature: Optional[float] = None
-    tool_choice: ToolChoice
-    tools: Union[List[Tool], List[ResponseFunctionToolCall], List[Dict[str, Any]]]
-    top_p: Optional[float]
+    tool_choice: Optional[ToolChoice] = None
+    tools: Optional[Union[List[Tool], List[ResponseFunctionToolCall], List[Dict[str, Any]]]] = None
+    top_p: Optional[float] = None
     max_output_tokens: Optional[int] = None
     previous_response_id: Optional[str] = None
     reasoning: Optional[Reasoning] = None
diff --git a/litellm/types/tag_management.py b/litellm/types/tag_management.py
index a3615b658c..a9b58ace02 100644
--- a/litellm/types/tag_management.py
+++ b/litellm/types/tag_management.py
@@ -18,11 +18,27 @@ class TagConfig(TagBase):
 
 
 class TagNewRequest(TagBase):
-    pass
+    budget_id: Optional[str] = None
+    # Budget fields - if budget_id is None, create a new budget with these params
+    max_budget: Optional[float] = None
+    soft_budget: Optional[float] = None
+    max_parallel_requests: Optional[int] = None
+    tpm_limit: Optional[int] = None
+    rpm_limit: Optional[int] = None
+    model_max_budget: Optional[Dict] = None
+    budget_duration: Optional[str] = None
 
 
 class TagUpdateRequest(TagBase):
-    pass
+    budget_id: Optional[str] = None
+    # Budget fields - if provided, will update the budget
+    max_budget: Optional[float] = None
+    soft_budget: Optional[float] = None
+    max_parallel_requests: Optional[int] = None
+    tpm_limit: Optional[int] = None
+    rpm_limit: Optional[int] = None
+    model_max_budget: Optional[Dict] = None
+    budget_duration: Optional[str] = None
 
 
 class TagDeleteRequest(BaseModel):
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 34bc88ee76..a897942ef3 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -2382,6 +2382,7 @@ all_litellm_params = [
     "litellm_session_id",
     "use_litellm_proxy",
     "prompt_label",
+    "shared_session",
 ] + list(StandardCallbackDynamicParams.__annotations__.keys()) + list(CustomPricingLiteLLMParams.model_fields.keys())
 
 
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 38cf967168..d5611d2605 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -866,6 +866,36 @@
         "mode": "audio_transcription",
         "output_cost_per_second": 0.0
     },
+    "au.anthropic.claude-sonnet-4-5-20250929-v1:0": {
+        "cache_creation_input_token_cost": 4.125e-06,
+        "cache_read_input_token_cost": 3.3e-07,
+        "input_cost_per_token": 3.3e-06,
+        "input_cost_per_token_above_200k_tokens": 6.6e-06,
+        "output_cost_per_token_above_200k_tokens": 2.475e-05,
+        "cache_creation_input_token_cost_above_200k_tokens": 8.25e-06,
+        "cache_read_input_token_cost_above_200k_tokens": 6.6e-07,
+        "litellm_provider": "bedrock_converse",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 64000,
+        "max_tokens": 200000,
+        "mode": "chat",
+        "output_cost_per_token": 1.65e-05,
+        "search_context_cost_per_query": {
+            "search_context_size_high": 0.01,
+            "search_context_size_low": 0.01,
+            "search_context_size_medium": 0.01
+        },
+        "supports_assistant_prefill": true,
+        "supports_computer_use": true,
+        "supports_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "tool_use_system_prompt_tokens": 346
+    },
     "azure/ada": {
         "input_cost_per_token": 1e-07,
         "litellm_provider": "azure",
@@ -13044,34 +13074,6 @@
         "supports_vision": true,
         "supports_web_search": true
     },
-    "gpt-5-codex": {
-        "cache_read_input_token_cost": 1.25e-07,
-        "input_cost_per_token": 1.25e-06,
-        "litellm_provider": "openai",
-        "max_input_tokens": 400000,
-        "max_output_tokens": 128000,
-        "max_tokens": 128000,
-        "mode": "chat",
-        "output_cost_per_token": 1e-05,
-        "supported_endpoints": [
-            "/v1/responses"
-        ],
-        "supported_modalities": [
-            "text",
-            "image"
-        ],
-        "supported_output_modalities": [
-            "text"
-        ],
-        "supports_function_calling": true,
-        "supports_native_streaming": true,
-        "supports_parallel_function_calling": true,
-        "supports_prompt_caching": true,
-        "supports_reasoning": true,
-        "supports_response_schema": true,
-        "supports_system_messages": true,
-        "supports_tool_choice": true
-    },
     "gpt-5-2025-08-07": {
         "cache_read_input_token_cost": 1.25e-07,
         "cache_read_input_token_cost_flex": 6.25e-08,
@@ -16633,6 +16635,42 @@
         "supports_function_calling": true,
         "supports_response_schema": false
     },
+    "oci/cohere.command-latest": {
+        "input_cost_per_token": 1.56e-06,
+        "litellm_provider": "oci",
+        "max_input_tokens": 128000,
+        "max_output_tokens": 4000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 1.56e-06,
+        "source": "https://www.oracle.com/cloud/ai/generative-ai/pricing/",
+        "supports_function_calling": true,
+        "supports_response_schema": false
+    },
+    "oci/cohere.command-a-03-2025": {
+        "input_cost_per_token": 1.56e-06,
+        "litellm_provider": "oci",
+        "max_input_tokens": 256000,
+        "max_output_tokens": 4000,
+        "max_tokens": 256000,
+        "mode": "chat",
+        "output_cost_per_token": 1.56e-06,
+        "source": "https://www.oracle.com/cloud/ai/generative-ai/pricing/",
+        "supports_function_calling": true,
+        "supports_response_schema": false
+    },
+    "oci/cohere.command-plus-latest": {
+        "input_cost_per_token": 1.56e-06,
+        "litellm_provider": "oci",
+        "max_input_tokens": 128000,
+        "max_output_tokens": 4000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 1.56e-06,
+        "source": "https://www.oracle.com/cloud/ai/generative-ai/pricing/",
+        "supports_function_calling": true,
+        "supports_response_schema": false
+    },
     "ollama/codegeex4": {
         "input_cost_per_token": 0.0,
         "litellm_provider": "ollama",
@@ -19644,6 +19682,22 @@
         "mode": "embedding",
         "output_cost_per_token": 0.0
     },
+    "together_ai/baai/bge-base-en-v1.5": {
+        "input_cost_per_token": 8e-09,
+        "litellm_provider": "together_ai",
+        "max_input_tokens": 512,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 768
+    },
+    "together_ai/BAAI/bge-base-en-v1.5": {
+        "input_cost_per_token": 8e-09,
+        "litellm_provider": "together_ai",
+        "max_input_tokens": 512,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 768
+    },
     "together-ai-up-to-4b": {
         "input_cost_per_token": 1e-07,
         "litellm_provider": "together_ai",
diff --git a/poetry.lock b/poetry.lock
index 05de535436..8b679ffaa6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3804,15 +3804,15 @@ files = [
 
 [[package]]
 name = "litellm-proxy-extras"
-version = "0.2.25"
+version = "0.2.26"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 optional = true
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 groups = ["main"]
 markers = "extra == \"proxy\""
 files = [
-    {file = "litellm_proxy_extras-0.2.25-py3-none-any.whl", hash = "sha256:334ac3c04511258e2cbbd7a1ddb6e30619a6e693b267db92033732f4d981baab"},
-    {file = "litellm_proxy_extras-0.2.25.tar.gz", hash = "sha256:9cf363570a5dc3349bea6ad1fba00ce9aeb90232fc69adc32881e53bec2cbf8f"},
+    {file = "litellm_proxy_extras-0.2.26-py3-none-any.whl", hash = "sha256:3d7c306952477295bcbbebefcf03311bfcfa8733428a3fffa517030eaf99a4df"},
+    {file = "litellm_proxy_extras-0.2.26.tar.gz", hash = "sha256:dd20de56438d66a482136dc8e948a37976838d5dca98dc8295bcf799aa3dac09"},
 ]
 
 [[package]]
@@ -9598,4 +9598,4 @@ utils = ["numpydoc"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.8.1,<4.0, !=3.9.7"
-content-hash = "ef5f8d965a4d77f6ae7d424306e2c88082708bc7e374896e6b022a13ce7c1962"
+content-hash = "3ea68de15459ee89fa79e91864be3510201096d789203588770c3b522a929e11"
diff --git a/pyproject.toml b/pyproject.toml
index 03a0a4138d..67ffe76779 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.77.7"
+version = "1.78.0"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -59,7 +59,7 @@ websockets = {version = "^13.1.0", optional = true}
 boto3 = {version = "1.36.0", optional = true}
 redisvl = {version = "^0.4.1", optional = true, markers = "python_version >= '3.9' and python_version < '3.14'"}
 mcp = {version = "^1.10.0", optional = true, python = ">=3.10"}
-litellm-proxy-extras = {version = "0.2.25", optional = true}
+litellm-proxy-extras = {version = "0.2.26", optional = true}
 rich = {version = "13.7.1", optional = true}
 litellm-enterprise = {version = "0.1.20", optional = true}
 diskcache = {version = "^5.6.1", optional = true}
@@ -157,7 +157,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.77.7"
+version = "1.78.0"
 version_files = [
     "pyproject.toml:^version"
 ]
diff --git a/requirements.txt b/requirements.txt
index f5190e67c0..d869d7f574 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -43,7 +43,7 @@ sentry_sdk==2.21.0 # for sentry error handling
 detect-secrets==1.5.0 # Enterprise - secret detection / masking in LLM requests
 cryptography==44.0.1
 tzdata==2025.1 # IANA time zone database
-litellm-proxy-extras==0.2.25 # for proxy extras - e.g. prisma migrations
+litellm-proxy-extras==0.2.26 # for proxy extras - e.g. prisma migrations
 ### LITELLM PACKAGE DEPENDENCIES
 python-dotenv==1.0.1 # for env
 tiktoken==0.8.0 # for calculating usage
diff --git a/schema.prisma b/schema.prisma
index 625897c3ca..a13af1afc5 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -25,6 +25,7 @@ model LiteLLM_BudgetTable {
   organization LiteLLM_OrganizationTable[] // multiple orgs can have the same budget
   keys LiteLLM_VerificationToken[] // multiple keys can have the same budget
   end_users LiteLLM_EndUserTable[] // multiple end-users can have the same budget
+  tags LiteLLM_TagTable[] // multiple tags can have the same budget
   team_membership LiteLLM_TeamMembership[] // budgets of Users within a Team 
   organization_membership LiteLLM_OrganizationMembership[] // budgets of Users within a Organization 
 }
@@ -245,6 +246,20 @@ model LiteLLM_EndUserTable {
   blocked Boolean @default(false)
 }
 
+// Track tags with budgets and spend
+model LiteLLM_TagTable {
+  tag_name String @id
+  description String?
+  models String[]
+  model_info Json? // maps model_id to model_name
+  spend Float @default(0.0)
+  budget_id String?
+  litellm_budget_table LiteLLM_BudgetTable? @relation(fields: [budget_id], references: [budget_id])
+  created_at DateTime @default(now()) @map("created_at")
+  created_by String?
+  updated_at DateTime @default(now()) @updatedAt @map("updated_at")
+}
+
 // store proxy config.yaml
 model LiteLLM_Config {
   param_name String @id
diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index aec4a88d60..889e3918b3 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -1182,10 +1182,8 @@ def test_async_http_handler(mock_async_client):
         assert call_args["transport"] == mock_transport
         assert call_args["event_hooks"] == event_hooks
         assert call_args["headers"] == headers
-        assert isinstance(call_args["limits"], httpx.Limits)
-        assert call_args["limits"].max_connections == concurrent_limit
-        assert call_args["limits"].max_keepalive_connections == concurrent_limit
         assert call_args["timeout"] == timeout
+        assert call_args["follow_redirects"] is True
 
 
 @mock.patch("httpx.AsyncClient")
@@ -1224,12 +1222,10 @@ def test_async_http_handler_force_ipv4(mock_async_client):
         # Assert other parameters match
         assert call_args["event_hooks"] == event_hooks
         assert call_args["headers"] == headers
-        assert isinstance(call_args["limits"], httpx.Limits)
-        assert call_args["limits"].max_connections == concurrent_limit
-        assert call_args["limits"].max_keepalive_connections == concurrent_limit
         assert call_args["timeout"] == timeout
         assert isinstance(call_args["verify"], ssl.SSLContext)
         assert call_args["cert"] is None
+        assert call_args["follow_redirects"] is True
 
     finally:
         # Reset force_ipv4 to default
diff --git a/tests/llm_responses_api_testing/base_responses_api.py b/tests/llm_responses_api_testing/base_responses_api.py
index afb30f15f0..9a77ca6b68 100644
--- a/tests/llm_responses_api_testing/base_responses_api.py
+++ b/tests/llm_responses_api_testing/base_responses_api.py
@@ -57,9 +57,6 @@ def validate_responses_api_response(response, final_chunk: bool = False):
     assert "output" in response and isinstance(
         response["output"], list
     ), "Response should have a list 'output' field"
-    assert "parallel_tool_calls" in response and isinstance(
-        response["parallel_tool_calls"], bool
-    ), "Response should have a boolean 'parallel_tool_calls' field"
 
     # Optional fields with their expected types
     optional_fields = {
@@ -69,9 +66,10 @@ def validate_responses_api_response(response, final_chunk: bool = False):
         "metadata": dict,
         "model": str,
         "object": str,
+        "parallel_tool_calls": (bool, type(None)),
         "temperature": (int, float, type(None)),
-        "tool_choice": (dict, str),
-        "tools": list,
+        "tool_choice": (dict, str, type(None)),
+        "tools": (list, type(None)),
         "top_p": (int, float, type(None)),
         "max_output_tokens": (int, type(None)),
         "previous_response_id": (str, type(None)),
diff --git a/tests/llm_responses_api_testing/test_azure_responses_api.py b/tests/llm_responses_api_testing/test_azure_responses_api.py
index 6305137ff4..312fec1552 100644
--- a/tests/llm_responses_api_testing/test_azure_responses_api.py
+++ b/tests/llm_responses_api_testing/test_azure_responses_api.py
@@ -50,12 +50,14 @@ async def test_azure_responses_api_preview_api_version():
 @pytest.mark.asyncio
 async def test_azure_responses_api_status_error():
     """
-    Ensure new azure preview api version is working
+    Test that 'status' field is not sent in the final request body to Azure API.
+    The status field should be filtered out from input messages before making the API call.
     """
-    litellm._turn_on_debug()
+    from unittest.mock import AsyncMock, MagicMock
+    import json
 
     request_data = {
-        "model": "gpt-5-mini",
+        "model": "computer-use-preview",
         "input": [
             {"content": "tell me an interesting fact", "role": "user"},
             {
@@ -71,7 +73,7 @@ async def test_azure_responses_api_status_error():
                 "content": [
                     {
                         "annotations": [],
-                        "text": "Octopuses have three hearts: two pump blood to the gills, while the third pumps it to the rest of the body. Even more unusual, their blood is blue because it uses the copper-containing protein hemocyanin to carry oxygen, which is more efficient than hemoglobin in cold, low-oxygen environments.",
+                        "text": "very good morning",
                         "type": "output_text",
                         "logprobs": [],
                     }
@@ -88,11 +90,95 @@ async def test_azure_responses_api_status_error():
         "stream": False,
         "tools": [],
     }
-    response = await litellm.aresponses(
-        model="azure/gpt-5-mini-2",
-        truncation="auto",
-        api_version="preview",
-        api_base=os.getenv("AZURE_GPT5_MINI_API_BASE"),
-        api_key=os.getenv("AZURE_GPT5_MINI_API_KEY"),
-        input=request_data["input"],
+
+    # Mock response
+    mock_response_data = {
+        "id": "resp_123",
+        "object": "response",
+        "created_at": 1234567890,
+        "model": "computer-use-preview",
+        "status": "completed",
+        "output": [
+            {
+                "id": "msg_123",
+                "role": "assistant",
+                "type": "message",
+                "status": "completed",
+                "content": [{"type": "output_text", "text": "Here's an interesting fact."}],
+            }
+        ],
+    }
+
+    captured_request_body = {}
+
+    async def mock_post(*args, **kwargs):
+        # Capture the request body
+        nonlocal captured_request_body
+        if "json" in kwargs:
+            captured_request_body = kwargs["json"]
+        elif "data" in kwargs:
+            captured_request_body = json.loads(kwargs["data"])
+
+        import httpx
+        
+        # Create a proper httpx Response object
+        response_content = json.dumps(mock_response_data).encode("utf-8")
+        response = httpx.Response(
+            status_code=200,
+            headers={"content-type": "application/json"},
+            content=response_content,
+            request=httpx.Request(method="POST", url="https://test.openai.azure.com"),
+        )
+        return response
+
+    from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+    from unittest.mock import patch
+
+    with patch.object(AsyncHTTPHandler, "post", new=mock_post):
+        response = await litellm.aresponses(
+            model="azure/computer-use-preview",
+            truncation="auto",
+            api_version="preview",
+            api_base="https://test.openai.azure.com",
+            api_key="test-key",
+            input=request_data["input"],
+        )
+
+    # Verify that 'status' field is not present in any of the input messages
+    print("Final request body:", json.dumps(captured_request_body, indent=4, default=str))
+    assert "input" in captured_request_body, "Request body should contain 'input' field"
+    
+    expected_input = [
+        {
+            "content": "tell me an interesting fact",
+            "role": "user"
+        },
+        {
+            "id": "rs_0ab687487834d9df0068e462a1b2d88197aabbc832c9ba5316",
+            "summary": [],
+            "type": "reasoning"
+        },
+        {
+            "id": "msg_0ab687487834d9df0068e462a1df188197b74b1eef05102c18",
+            "content": [
+                {
+                    "annotations": [],
+                    "text": "very good morning",
+                    "type": "output_text",
+                    "logprobs": []
+                }
+            ],
+            "role": "assistant",
+            "type": "message"
+        },
+        {
+            "role": "user",
+            "content": "tell me another"
+        }
+    ]
+    
+    assert captured_request_body["input"] == expected_input, (
+        f"Request body input should match expected format without 'status' field.\n"
+        f"Expected: {json.dumps(expected_input, indent=2)}\n"
+        f"Got: {json.dumps(captured_request_body['input'], indent=2)}"
     )
diff --git a/tests/llm_translation/test_gemini.py b/tests/llm_translation/test_gemini.py
index 64e66f3914..f4100d9e8a 100644
--- a/tests/llm_translation/test_gemini.py
+++ b/tests/llm_translation/test_gemini.py
@@ -97,6 +97,9 @@ def test_gemini_context_caching_with_ttl():
         model="gemini-1.5-pro",
         messages=messages_with_ttl,
         cache_key="test-ttl-cache-key",
+        custom_llm_provider="gemini",
+        vertex_project=None,
+        vertex_location=None,
     )
 
     # Verify TTL is properly included in the result
@@ -123,6 +126,9 @@ def test_gemini_context_caching_with_ttl():
         model="gemini-1.5-pro",
         messages=messages_invalid_ttl,
         cache_key="test-invalid-ttl",
+        custom_llm_provider="gemini",
+        vertex_project=None,
+        vertex_location=None,
     )
 
     # Verify invalid TTL is not included
@@ -145,7 +151,12 @@ def test_gemini_context_caching_with_ttl():
     ]
 
     result_no_ttl = transform_openai_messages_to_gemini_context_caching(
-        model="gemini-1.5-pro", messages=messages_no_ttl, cache_key="test-no-ttl"
+        model="gemini-1.5-pro",
+        messages=messages_no_ttl,
+        cache_key="test-no-ttl",
+        custom_llm_provider="gemini",
+        vertex_project=None,
+        vertex_location=None,
     )
 
     # Verify no TTL field is present when not specified
@@ -195,7 +206,12 @@ def test_gemini_context_caching_with_ttl():
 
     # Test transformation with mixed messages
     result_mixed = transform_openai_messages_to_gemini_context_caching(
-        model="gemini-1.5-pro", messages=messages_mixed, cache_key="test-mixed-ttl"
+        model="gemini-1.5-pro",
+        messages=messages_mixed,
+        cache_key="test-mixed-ttl",
+        custom_llm_provider="gemini",
+        vertex_project=None,
+        vertex_location=None,
     )
 
     # Should pick up the first valid TTL
@@ -286,20 +302,16 @@ def test_gemini_2_5_flash_image_preview():
     mock_response = ImageResponse()
     mock_response.data = [ImageObject(b64_json="test_base64_data", url=None)]
 
-    with patch("litellm.llms.custom_httpx.llm_http_handler.HTTPHandler.post") as mock_post:
+    with patch(
+        "litellm.llms.custom_httpx.llm_http_handler.HTTPHandler.post"
+    ) as mock_post:
         # Mock successful HTTP response
         mock_http_response = MagicMock()
         mock_http_response.json.return_value = {
             "candidates": [
                 {
                     "content": {
-                        "parts": [
-                            {
-                                "inlineData": {
-                                    "data": "test_base64_image_data"
-                                }
-                            }
-                        ]
+                        "parts": [{"inlineData": {"data": "test_base64_image_data"}}]
                     }
                 }
             ]
@@ -311,33 +323,38 @@ def test_gemini_2_5_flash_image_preview():
         response = litellm.image_generation(
             model="gemini/gemini-2.5-flash-image-preview",
             prompt="Generate a simple test image",
-            api_key="test_api_key"
+            api_key="test_api_key",
         )
 
         # Validate response structure
         assert response is not None
-        assert hasattr(response, 'data')
+        assert hasattr(response, "data")
         assert response.data is not None
         assert len(response.data) > 0
 
         # Validate the correct endpoint was called
         mock_post.assert_called_once()
         call_args = mock_post.call_args
-        called_url = call_args[0][0] if call_args[0] else call_args.kwargs.get('url', '')
+        called_url = (
+            call_args[0][0] if call_args[0] else call_args.kwargs.get("url", "")
+        )
 
         # Verify it uses generateContent endpoint for gemini-2.5-flash-image-preview (not predict)
         assert ":generateContent" in called_url
         assert "gemini-2.5-flash-image-preview" in called_url
 
         # Verify request format is Gemini format (not Imagen)
-        request_data = call_args.kwargs.get('json', {})
+        request_data = call_args.kwargs.get("json", {})
         assert "contents" in request_data
         assert "parts" in request_data["contents"][0]
 
         # Verify response_modalities is set correctly for image generation
         assert "generationConfig" in request_data
         assert "response_modalities" in request_data["generationConfig"]
-        assert request_data["generationConfig"]["response_modalities"] == ["IMAGE", "TEXT"]
+        assert request_data["generationConfig"]["response_modalities"] == [
+            "IMAGE",
+            "TEXT",
+        ]
 
 
 def test_gemini_imagen_models_use_predict_endpoint():
@@ -347,15 +364,13 @@ def test_gemini_imagen_models_use_predict_endpoint():
     from unittest.mock import patch, MagicMock
     from litellm.types.utils import ImageResponse, ImageObject
 
-    with patch("litellm.llms.custom_httpx.llm_http_handler.HTTPHandler.post") as mock_post:
+    with patch(
+        "litellm.llms.custom_httpx.llm_http_handler.HTTPHandler.post"
+    ) as mock_post:
         # Mock successful HTTP response for Imagen
         mock_http_response = MagicMock()
         mock_http_response.json.return_value = {
-            "predictions": [
-                {
-                    "bytesBase64Encoded": "test_base64_image_data"
-                }
-            ]
+            "predictions": [{"bytesBase64Encoded": "test_base64_image_data"}]
         }
         mock_http_response.status_code = 200
         mock_post.return_value = mock_http_response
@@ -364,17 +379,19 @@ def test_gemini_imagen_models_use_predict_endpoint():
         response = litellm.image_generation(
             model="gemini/imagen-3.0-generate-001",
             prompt="Generate a simple test image",
-            api_key="test_api_key"
+            api_key="test_api_key",
         )
 
         # Validate response structure
         assert response is not None
-        assert hasattr(response, 'data')
+        assert hasattr(response, "data")
 
         # Validate the correct endpoint was called for Imagen models
         mock_post.assert_called_once()
         call_args = mock_post.call_args
-        called_url = call_args[0][0] if call_args[0] else call_args.kwargs.get('url', '')
+        called_url = (
+            call_args[0][0] if call_args[0] else call_args.kwargs.get("url", "")
+        )
 
         # Verify Imagen models use predict endpoint (not generateContent)
         assert ":predict" in called_url
@@ -382,7 +399,7 @@ def test_gemini_imagen_models_use_predict_endpoint():
         assert ":generateContent" not in called_url
 
         # Verify request format is Imagen format (not Gemini)
-        request_data = call_args.kwargs.get('json', {})
+        request_data = call_args.kwargs.get("json", {})
         assert "instances" in request_data
         assert "parameters" in request_data
 
@@ -981,9 +998,7 @@ def test_gemini_exception_message_format():
 
     # Create a mock exception that simulates a Gemini API error
     mock_exception = httpx.HTTPStatusError(
-        message="Bad Request",
-        request=Mock(),
-        response=mock_response
+        message="Bad Request", request=Mock(), response=mock_response
     )
     mock_exception.response = mock_response
     mock_exception.status_code = 400
@@ -995,7 +1010,7 @@ def test_gemini_exception_message_format():
             original_exception=mock_exception,
             custom_llm_provider="gemini",
             completion_kwargs={},
-            extra_kwargs={}
+            extra_kwargs={},
         )
         # Should not reach here - exception should be raised
         assert False, "Expected BadRequestError to be raised"
@@ -1010,22 +1025,25 @@ def test_gemini_exception_message_format():
             f"Expected 'GeminiException' in error message, got: {error_message}. "
             f"This test should fail before the fix is implemented."
         )
-        assert "VertexAIException" not in error_message, (
-            f"Should not contain 'VertexAIException' in error message, got: {error_message}"
-        )
+        assert (
+            "VertexAIException" not in error_message
+        ), f"Should not contain 'VertexAIException' in error message, got: {error_message}"
 
 
-@pytest.mark.parametrize("status_code,expected_exception", [
-    (400, "BadRequestError"),
-    (401, "AuthenticationError"),
-    (403, "PermissionDeniedError"),
-    (404, "NotFoundError"),
-    (408, "Timeout"),
-    (429, "RateLimitError"),
-    (500, "InternalServerError"),
-    (502, "APIConnectionError"),
-    (503, "ServiceUnavailableError"),
-])
+@pytest.mark.parametrize(
+    "status_code,expected_exception",
+    [
+        (400, "BadRequestError"),
+        (401, "AuthenticationError"),
+        (403, "PermissionDeniedError"),
+        (404, "NotFoundError"),
+        (408, "Timeout"),
+        (429, "RateLimitError"),
+        (500, "InternalServerError"),
+        (502, "APIConnectionError"),
+        (503, "ServiceUnavailableError"),
+    ],
+)
 def l(status_code, expected_exception):
     """
     Test comprehensive Gemini error handling for all HTTP status codes.
@@ -1037,8 +1055,15 @@ def l(status_code, expected_exception):
     from unittest.mock import Mock
     from litellm.litellm_core_utils.exception_mapping_utils import exception_type
     from litellm.exceptions import (
-        BadRequestError, AuthenticationError, PermissionDeniedError, NotFoundError,
-        Timeout, RateLimitError, InternalServerError, APIConnectionError, ServiceUnavailableError
+        BadRequestError,
+        AuthenticationError,
+        PermissionDeniedError,
+        NotFoundError,
+        Timeout,
+        RateLimitError,
+        InternalServerError,
+        APIConnectionError,
+        ServiceUnavailableError,
     )
 
     # Mock the appropriate error response
@@ -1049,9 +1074,7 @@ def l(status_code, expected_exception):
 
     # Create a mock exception
     mock_exception = httpx.HTTPStatusError(
-        message=f"HTTP {status_code}",
-        request=Mock(),
-        response=mock_response
+        message=f"HTTP {status_code}", request=Mock(), response=mock_response
     )
     mock_exception.response = mock_response
     mock_exception.status_code = status_code
@@ -1065,9 +1088,11 @@ def l(status_code, expected_exception):
             original_exception=mock_exception,
             custom_llm_provider="gemini",
             completion_kwargs={},
-            extra_kwargs={}
+            extra_kwargs={},
         )
-        assert False, f"Expected {expected_exception} to be raised for status {status_code}"
+        assert (
+            False
+        ), f"Expected {expected_exception} to be raised for status {status_code}"
     except Exception as e:
         # Verify the correct exception type is raised
         exception_classes = {
@@ -1082,13 +1107,25 @@ def l(status_code, expected_exception):
             "ServiceUnavailableError": ServiceUnavailableError,
         }
         expected_class = exception_classes[expected_exception]
-        assert isinstance(e, expected_class), f"Expected {expected_exception}, got {type(e).__name__}"
+        assert isinstance(
+            e, expected_class
+        ), f"Expected {expected_exception}, got {type(e).__name__}"
 
         # Verify the error message contains GeminiException
         error_message = str(e)
-        assert "GeminiException" in error_message, (
-            f"Expected 'GeminiException' in error message for status {status_code}, got: {error_message}"
-        )
-        assert "VertexAIException" not in error_message, (
-            f"Should not contain 'VertexAIException' for status {status_code}, got: {error_message}"
-        )
+        assert (
+            "GeminiException" in error_message
+        ), f"Expected 'GeminiException' in error message for status {status_code}, got: {error_message}"
+        assert (
+            "VertexAIException" not in error_message
+        ), f"Should not contain 'VertexAIException' for status {status_code}, got: {error_message}"
+
+
+def test_gemini_embedding():
+    litellm._turn_on_debug()
+    response = litellm.embedding(
+        model="gemini/gemini-embedding-001",
+        input="Hello, world!",
+    )
+    print("response: ", response)
+    assert response is not None
diff --git a/tests/llm_translation/test_openai.py b/tests/llm_translation/test_openai.py
index eaf0377757..4b63311f1a 100644
--- a/tests/llm_translation/test_openai.py
+++ b/tests/llm_translation/test_openai.py
@@ -726,3 +726,542 @@ def test_openai_safety_identifier_parameter_sync():
         assert "safety_identifier" in request_body
         # Verify safety_identifier is correctly sent to the API
         assert request_body["safety_identifier"] == "user_code_123456"
+
+
+def test_gpt_5_reasoning():
+    litellm._turn_on_debug()
+    response = litellm.completion(
+        model="openai/responses/gpt-5-mini",
+        messages=[
+            {
+                "role": "user",
+                "content": "Think of the capital of France, and then write it.",
+            }
+        ],
+        reasoning_effort="low",
+    )
+    print("response: ", response)
+    assert response.choices[0].message.reasoning_content is not None
+
+
+def test_gpt_5_reasoning_streaming():
+    litellm._turn_on_debug()
+    response = litellm.completion(
+        model="openai/responses/gpt-5-mini",
+        messages=[{"role": "user", "content": "Think of a poem, and then write it."}],
+        reasoning_effort="low",
+        stream=True,
+    )
+
+    has_reasoning_content = False
+    for chunk in response:
+        print("chunk: ", chunk)
+        if (
+            hasattr(chunk.choices[0].delta, "reasoning_content")
+            and chunk.choices[0].delta.reasoning_content is not None
+        ):
+            print("reasoning_content: ", chunk.choices[0].delta.reasoning_content)
+            has_reasoning_content = True
+
+    assert has_reasoning_content
+
+    print("✓ gpt_5_reasoning_streaming correctly handled reasoning content")
+
+
+def test_gpt_5_pro_reasoning():
+    litellm._turn_on_debug()
+    response = litellm.completion(
+        model="gpt-5-pro",
+        messages=[
+            {
+                "role": "user",
+                "content": "Think of a poem and then write it.",
+            }
+        ],
+        reasoning_effort="high",
+    )
+    print("response: ", response)
+    assert response.choices[0].message.reasoning_content is not None
+
+
+def test_openai_gpt_5_codex_reasoning():
+    litellm._turn_on_debug()
+    completion_kwargs = {
+        "model": "gpt-5-codex",
+        "messages": [
+            {
+                "role": "system",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "You are Claude Code, Anthropic's official CLI for Claude.",
+                        "cache_control": {"type": "ephemeral"},
+                    },
+                    {
+                        "type": "text",
+                        "text": '\nYou are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user.\n\nIMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.\nIMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.\n\nIf the user asks for help or wants to give feedback inform them of the following:\n- /help: Get help with using Claude Code\n- To give feedback, users should report the issue at https://github.com/anthropics/claude-code/issues\n\nWhen the user directly asks about Claude Code (eg. "can Claude Code do...", "does Claude Code have..."), or asks in second person (eg. "are you able...", "can you do..."), or asks how to use a specific Claude Code feature (eg. implement a hook, write a slash command, or install an MCP server), use the WebFetch tool to gather information to answer the question from Claude Code docs. The list of available docs is available at https://docs.claude.com/en/docs/claude-code/claude_code_docs_map.md.\n\n# Tone and style\n- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.\n- Your output will be displayed on a command line interface. Your responses should be short and concise. You can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.\n- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like Bash or code comments as means to communicate with the user during the session.\n- NEVER create files unless they\'re absolutely necessary for achieving your goal. ALWAYS prefer editing an existing file to creating a new one. This includes markdown files.\n\n# Professional objectivity\nPrioritize technical accuracy and truthfulness over validating the user\'s beliefs. Focus on facts and problem-solving, providing direct, objective technical info without any unnecessary superlatives, praise, or emotional validation. It is best for the user if Claude honestly applies the same rigorous standards to all ideas and disagrees when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it\'s best to investigate to find the truth first rather than instinctively confirming the user\'s beliefs.\n\n# Task Management\nYou have access to the TodoWrite tools to help you manage and plan tasks. Use these tools VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.\nThese tools are also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.\n\nIt is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.\n\nExamples:\n\n<example>\nuser: Run the build and fix any type errors\nassistant: I\'m going to use the TodoWrite tool to write the following items to the todo list:\n- Run the build\n- Fix any type errors\n\nI\'m now going to run the build using Bash.\n\nLooks like I found 10 type errors. I\'m going to use the TodoWrite tool to write 10 items to the todo list.\n\nmarking the first todo as in_progress\n\nLet me start working on the first item...\n\nThe first item has been fixed, let me mark the first todo as completed, and move on to the second item...\n..\n..\n</example>\nIn the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.\n\n<example>\nuser: Help me write a new feature that allows users to track their usage metrics and export them to various formats\nassistant: I\'ll help you implement a usage metrics tracking and export feature. Let me first use the TodoWrite tool to plan this task.\nAdding the following todos to the todo list:\n1. Research existing metrics tracking in the codebase\n2. Design the metrics collection system\n3. Implement core metrics tracking functionality\n4. Create export functionality for different formats\n\nLet me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.\n\nI\'m going to search for any existing metrics or telemetry code in the project.\n\nI\'ve found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I\'ve learned...\n\n[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]\n</example>\n\n\nUsers may configure \'hooks\', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including <user-prompt-submit-hook>, as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.\n\n# Doing tasks\nThe user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:\n- \n- Use the TodoWrite tool to plan the task if required\n\n- Tool results and user messages may include <system-reminder> tags. <system-reminder> tags contain useful information and reminders. They are automatically added by the system, and bear no direct relation to the specific tool results or user messages in which they appear.\n\n\n# Tool usage policy\n- When doing file search, prefer to use the Task tool in order to reduce context usage.\n- You should proactively use the Task tool with specialized agents when the task at hand matches the agent\'s description.\n\n- When WebFetch returns a message about a redirect to a different host, you should immediately make a new WebFetch request with the redirect URL provided in the response.\n- You can call multiple tools in a single response. If you intend to call multiple tools and there are no dependencies between them, make all independent tool calls in parallel. Maximize use of parallel tool calls where possible to increase efficiency. However, if some tool calls depend on previous calls to inform dependent values, do NOT call these tools in parallel and instead call them sequentially. For instance, if one operation must complete before another starts, run these operations sequentially instead. Never use placeholders or guess missing parameters in tool calls.\n- If the user specifies that they want you to run tools "in parallel", you MUST send a single message with multiple tool use content blocks. For example, if you need to launch multiple agents in parallel, send a single message with multiple Task tool calls.\n- Use specialized tools instead of bash commands when possible, as this provides a better user experience. For file operations, use dedicated tools: Read for reading files instead of cat/head/tail, Edit for editing instead of sed/awk, and Write for creating files instead of cat with heredoc or echo redirection. Reserve bash tools exclusively for actual system commands and terminal operations that require shell execution. NEVER use bash echo or other command-line tools to communicate thoughts, explanations, or instructions to the user. Output all communication directly in your response text instead.\n\n\nHere is useful information about the environment you are running in:\n<env>\nWorking directory: /Users/krrishdholakia/Documents/temp_py_folder/dockerfile_tests\nIs directory a git repo: Yes\nPlatform: darwin\nOS Version: Darwin 24.5.0\nToday\'s date: 2025-10-10\n</env>\nYou are powered by the model gpt-5-codex.\n\n\nIMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.\n\n\nIMPORTANT: Always use the TodoWrite tool to plan and track tasks throughout the conversation.\n\n# Code References\n\nWhen referencing specific functions or pieces of code include the pattern `file_path:line_number` to allow the user to easily navigate to the source code location.\n\n<example>\nuser: Where are errors from the client handled?\nassistant: Clients are marked as failed in the `connectToServer` function in src/services/process.ts:712.\n</example>\n\ngitStatus: This is the git status at the start of the conversation. Note that this status is a snapshot in time, and will not update during the conversation.\nCurrent branch: main\n\nMain branch (you will usually use this for PRs): \n\nStatus:\nAM ../../.DS_Store\nA  ../../.gitignore\nA  ../../.localized\nA  "../../Berri AI, co-founded by Ishaan Jaffer and Krrish Dholakia, set to secure $1.6 million in funding - The Economic Times.pdf"\nA  ../../BerriIngestLoggingUI\nA  ../../BerrieAIAccountDetails.pdf\nA  ../../CacheDecoratorLocal.py\nAm ../../FastChat\nA  "../../Obsidian Vault/.obsidian/app.json"\nA  "../../Obsidian Vault/.obsidian/appearance.json"\nA  "../../Obsidian Vault/.obsidian/core-plugins-migration.json"\nA  "../../Obsidian Vault/.obsidian/core-plugins.json"\nA  "../../Obsidian Vault/.obsidian/graph.json"\nA  "../../Obsidian Vault/.obsidian/hotkeys.json"\nA  "../../Obsidian Vault/.obsidian/workspace.json"\nA  "../../Obsidian Vault/2023-06-23.md"\nA  "../../Obsidian Vault/2023-07-05.md"\nA  "../../Obsidian Vault/Caching Colab.md"\nA  "../../Obsidian Vault/Planning reliableGPT Queue.md"\nA  "../../Obsidian Vault/Prez Points.md"\nA  "../../Obsidian Vault/Shitty Ideas for markei.md"\nA  ../../Xnapper-2023-12-28-15.17.32.png\nA  ../../Xnapper-2024-01-22-12.41.01.png\nA  ../../Xnapper-2024-02-05-22.20.52.png\nA  ../../Xnapper-2024-02-25-02.12.26.png\nA  ../../Xnapper-2024-04-20-09.17.08.png\nA  ../../Xnapper-2024-05-06-22.56.25.png\nA  ../../__pycache__/litellm.cpython-311.pyc\nA  ../../api_log.json\nAm ../../berri-sentry\nA  ../../berriIngest1\nA  ../../codeinterpreter-api\nA  ../../data_ingest_server_customer_support_template_v_2\nA  ../../ezyzip.zip\nA  ../../github_app/reliablegpt_bot_1/.dockerignore\nA  ../../github_app/reliablegpt_bot_1/.env.example\nA  ../../github_app/reliablegpt_bot_1/.gitignore\nA  ../../github_app/reliablegpt_bot_1/CODE_OF_CONDUCT.md\nA  ../../github_app/reliablegpt_bot_1/CONTRIBUTING.md\nA  ../../github_app/reliablegpt_bot_1/Dockerfile\nA  ../../github_app/reliablegpt_bot_1/LICENSE\nA  ../../github_app/reliablegpt_bot_1/README.md\nA  ../../github_app/reliablegpt_bot_1/app.yml\nA  ../../github_app/reliablegpt_bot_1/index.js\nA  ../../github_app/reliablegpt_bot_1/package-lock.json\nA  ../../github_app/reliablegpt_bot_1/package.json\nA  ../../github_app/reliablegpt_bot_1/test/fixtures/issues.opened.json\nA  ../../github_app/reliablegpt_bot_1/test/fixtures/mock-cert.pem\nA  ../../github_app/reliablegpt_bot_1/test/index.test.js\nA? ../../liteLLM-proxy\nAM ../../litellm\nA  ../../litellm_config.toml\nA  ../../litellm_demo_app\nA  ../../litellm_demo_app_ui\nA  ../../litellm_logging\nA  ../../litellm_playground_backend\nA  ../../litellm_spend_api\nA  ../../llm_guard_config.yaml\nA  ../../oobabooga_macos/CMD_FLAGS.txt\nA  ../../oobabooga_macos/INSTRUCTIONS.txt\nA  ../../oobabooga_macos/cmd_macos.sh\nA  ../../oobabooga_macos/start_macos.sh\nA  ../../oobabooga_macos/update_macos.sh\nA  ../../oobabooga_macos/webui.py\nA  ../../pr-agent\nA  ../../proxy-server-backup/.dockerignore\nA  ../../proxy-server-backup/.env.template\nA  ../../proxy-server-backup/.gitignore\nA  ../../proxy-server-backup/Dockerfile\nA  ../../proxy-server-backup/LICENSE\nA  ../../proxy-server-backup/README.md\nA  ../../proxy-server-backup/llm.py\nA  ../../proxy-server-backup/main.py\nA  ../../proxy-server-backup/poetry.lock\nA  ../../proxy-server-backup/pyproject.toml\nA  ../../proxy-server-backup/requirements.txt\nA  ../../proxy-server-backup/test_proxy.py\nA  ../../proxy-server-backup/tests/__init__.py\nA  ../../proxy-server-backup/tests/test_proxy.py\nA  ../../proxy-server-backup/utils.py\nAm ../../reliableGPT\nAm ../../reliableGPT-logging-server\nA  ../../reliableGPT_github/.DS_Store\nAm ../../reliableGPT_github/reliableGPT\nA  ../../reliableKeysChecker\nA  ../../reliable_gpt_backend\nA  ../../reliable_gpt_demo/.cache/replit/__replit_disk_meta.json\nA  ../../reliable_gpt_demo/.cache/replit/modules.stamp\nA  ../../reliable_gpt_demo/.cache/replit/nix/env.json\nA  ../../reliable_gpt_demo/.eslintrc.json\nA  ../../reliable_gpt_demo/.gitignore\nA  ../../reliable_gpt_demo/.replit\nA  ../../reliable_gpt_demo/.upm/store.json\nA  ../../reliable_gpt_demo/README.md\nA  ../../reliable_gpt_demo/next-env.d.ts\nA  ../../reliable_gpt_demo/next.config.js\nA  ../../reliable_gpt_demo/package-lock.json\nA  ../../reliable_gpt_demo/package.json\nA  ../../reliable_gpt_demo/pages/_app.tsx\nA  ../../reliable_gpt_demo/pages/api/hello.ts\nA  ../../reliable_gpt_demo/pages/index.tsx\nA  ../../reliable_gpt_demo/postcss.config.js\nA  ../../reliable_gpt_demo/public/favicon.ico\nA  ../../reliable_gpt_demo/public/replit.svg\nA  ../../reliable_gpt_demo/replit.nix\nA  ../../reliable_gpt_demo/replit_zip_error_log.txt\nA  ../../reliable_gpt_demo/styles/globals.css\nA  ../../reliable_gpt_demo/tailwind.config.js\nA  ../../reliable_gpt_demo/tsconfig.json\nA  ../../simple_openai_proxy\nAm ../../spend-logs-server/my-app\nA  ../../storeQueryAbhi2\nAm ../../storeQueryDiscord\nAM ../.DS_Store\nA  ../.cache/41/cache.db\nA  ../.cache/42/cache.db\nA  ../CMU_Students_Mock_Sheet.csv\nA  ../CMU_Students_Mock_Sheet_new.csv\nAm ../LibreChat\nA  ../Ollama-Companion\nA  ../__pycache__/test_celery_script.cpython-311.pyc\nA  ../__pycache__/test_celery_server.cpython-311.pyc\nA  ../__pycache__/test_redis_2.cpython-311.pyc\nA  ../__target__/org.transcrypt.__runtime__.js\nA  ../__target__/org.transcrypt.__runtime__.map\nA  ../__target__/org.transcrypt.__runtime__.py\nA  ../_redis.py\nA  ../_secret_config.yaml\nA  ../api_log.json\nA  ../autogen-proxy/.cache/42/cache.db\nA  ../autogen-proxy/groupchat/tmp_code_93ad590d1bbe2dab918c67bab3611b23.bash\nA  ../autogen-proxy/main.py\nA  ../brython.js\nA  ../caching.py\nA  ../chat-ui-litellm-server/docker-compose.yml\nA  ../cli_tool/README.md\nA  ../cli_tool/cli_tool/__init__.py\nA  ../cli_tool/cli_tool/__pycache__/__init__.cpython-311.pyc\nA  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(truncated because it exceeds 40k characters. If you need more information, run "git status" using BashTool)\n\nRecent commits:\n3066e01 Initial commit (by create-cloudflare CLI)',
+                        "cache_control": {"type": "ephemeral"},
+                    },
+                ],
+            },
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "<system-reminder>\nThis is a reminder that your todo list is currently empty. DO NOT mention this to the user explicitly because they are already aware. If you are working on tasks that would benefit from a todo list please use the TodoWrite tool to create one. If not, please feel free to ignore. Again do not mention this message to the user.\n</system-reminder>",
+                    },
+                    {"type": "text", "text": "hey"},
+                ],
+            },
+        ],
+        "user": "user_5dd07c33da27e6d2968d94ea20bf47a7b090b6b158b82328d54da2909a108e84_account__session_d2e70091-3007-41a3-a916-cb8b0d3098de",
+        "tools": [
+            {
+                "type": "function",
+                "function": {
+                    "name": "Task",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "description": {
+                                "type": "string",
+                                "description": "A short (3-5 word) description of the task",
+                            },
+                            "prompt": {
+                                "type": "string",
+                                "description": "The task for the agent to perform",
+                            },
+                            "subagent_type": {
+                                "type": "string",
+                                "description": "The type of specialized agent to use for this task",
+                            },
+                        },
+                        "required": ["description", "prompt", "subagent_type"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": 'Launch a new agent to handle complex, multi-step tasks autonomously. \n\nAvailable agent types and the tools they have access to:\n- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)\n- statusline-setup: Use this agent to configure the user\'s Claude Code status line setting. (Tools: Read, Edit)\n- output-style-setup: Use this agent to create a Claude Code output style. (Tools: Read, Write, Edit, Glob, Grep)\n\nWhen using the Task tool, you must specify a subagent_type parameter to select which agent type to use.\n\nWhen NOT to use the Agent tool:\n- If you want to read a specific file path, use the Read or Glob tool instead of the Agent tool, to find the match more quickly\n- If you are searching for a specific class definition like "class Foo", use the Glob tool instead, to find the match more quickly\n- If you are searching for code within a specific file or set of 2-3 files, use the Read tool instead of the Agent tool, to find the match more quickly\n- Other tasks that are not related to the agent descriptions above\n\n\nUsage notes:\n- Launch multiple agents concurrently whenever possible, to maximize performance; to do that, use a single message with multiple tool uses\n- When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result.\n- For agents that run in the background, you will need to use AgentOutputTool to retrieve their results once they are done. You can continue to work while async agents run in the background - when you need their results to continue you can use AgentOutputTool in blocking mode to pause and wait for their results.\n- Each agent invocation is stateless. You will not be able to send additional messages to the agent, nor will the agent be able to communicate with you outside of its final report. Therefore, your prompt should contain a highly detailed task description for the agent to perform autonomously and you should specify exactly what information the agent should return back to you in its final and only message to you.\n- The agent\'s outputs should generally be trusted\n- Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user\'s intent\n- If the agent description mentions that it should be used proactively, then you should try your best to use it without the user having to ask for it first. Use your judgement.\n- If the user specifies that they want you to run agents "in parallel", you MUST send a single message with multiple Task tool use content blocks. For example, if you need to launch both a code-reviewer agent and a test-runner agent in parallel, send a single message with both tool calls.\n\nExample usage:\n\n<example_agent_descriptions>\n"code-reviewer": use this agent after you are done writing a signficant piece of code\n"greeting-responder": use this agent when to respond to user greetings with a friendly joke\n</example_agent_description>\n\n<example>\nuser: "Please write a function that checks if a number is prime"\nassistant: Sure let me write a function that checks if a number is prime\nassistant: First let me use the Write tool to write a function that checks if a number is prime\nassistant: I\'m going to use the Write tool to write the following code:\n<code>\nfunction isPrime(n) {\n  if (n <= 1) return false\n  for (let i = 2; i * i <= n; i++) {\n    if (n % i === 0) return false\n  }\n  return true\n}\n</code>\n<commentary>\nSince a signficant piece of code was written and the task was completed, now use the code-reviewer agent to review the code\n</commentary>\nassistant: Now let me use the code-reviewer agent to review the code\nassistant: Uses the Task tool to launch the with the code-reviewer agent \n</example>\n\n<example>\nuser: "Hello"\n<commentary>\nSince the user is greeting, use the greeting-responder agent to respond with a friendly joke\n</commentary>\nassistant: "I\'m going to use the Task tool to launch the with the greeting-responder agent"\n</example>\n',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "Bash",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "command": {
+                                "type": "string",
+                                "description": "The command to execute",
+                            },
+                            "timeout": {
+                                "type": "number",
+                                "description": "Optional timeout in milliseconds (max 600000)",
+                            },
+                            "description": {
+                                "type": "string",
+                                "description": "Clear, concise description of what this command does in 5-10 words, in active voice. Examples:\nInput: ls\nOutput: List files in current directory\n\nInput: git status\nOutput: Show working tree status\n\nInput: npm install\nOutput: Install package dependencies\n\nInput: mkdir foo\nOutput: Create directory 'foo'",
+                            },
+                            "run_in_background": {
+                                "type": "boolean",
+                                "description": "Set to true to run this command in the background. Use BashOutput to read the output later.",
+                            },
+                        },
+                        "required": ["command"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": 'Executes a given bash command in a persistent shell session with optional timeout, ensuring proper handling and security measures.\n\nIMPORTANT: This tool is for terminal operations like git, npm, docker, etc. DO NOT use it for file operations (reading, writing, editing, searching, finding files) - use the specialized tools for this instead.\n\nBefore executing the command, please follow these steps:\n\n1. Directory Verification:\n   - If the command will create new directories or files, first use `ls` to verify the parent directory exists and is the correct location\n   - For example, before running "mkdir foo/bar", first use `ls foo` to check that "foo" exists and is the intended parent directory\n\n2. Command Execution:\n   - Always quote file paths that contain spaces with double quotes (e.g., cd "path with spaces/file.txt")\n   - Examples of proper quoting:\n     - cd "/Users/name/My Documents" (correct)\n     - cd /Users/name/My Documents (incorrect - will fail)\n     - python "/path/with spaces/script.py" (correct)\n     - python /path/with spaces/script.py (incorrect - will fail)\n   - After ensuring proper quoting, execute the command.\n   - Capture the output of the command.\n\nUsage notes:\n  - The command argument is required.\n  - You can specify an optional timeout in milliseconds (up to 600000ms / 10 minutes). If not specified, commands will timeout after 120000ms (2 minutes).\n  - It is very helpful if you write a clear, concise description of what this command does in 5-10 words.\n  - If the output exceeds 30000 characters, output will be truncated before being returned to you.\n  - You can use the `run_in_background` parameter to run the command in the background, which allows you to continue working while the command runs. You can monitor the output using the Bash tool as it becomes available. Never use `run_in_background` to run \'sleep\' as it will return immediately. You do not need to use \'&\' at the end of the command when using this parameter.\n  \n  - Avoid using Bash with the `find`, `grep`, `cat`, `head`, `tail`, `sed`, `awk`, or `echo` commands, unless explicitly instructed or when these commands are truly necessary for the task. Instead, always prefer using the dedicated tools for these commands:\n    - File search: Use Glob (NOT find or ls)\n    - Content search: Use Grep (NOT grep or rg)\n    - Read files: Use Read (NOT cat/head/tail)\n    - Edit files: Use Edit (NOT sed/awk)\n    - Write files: Use Write (NOT echo >/cat <<EOF)\n    - Communication: Output text directly (NOT echo/printf)\n  - When issuing multiple commands:\n    - If the commands are independent and can run in parallel, make multiple Bash tool calls in a single message. For example, if you need to run "git status" and "git diff", send a single message with two Bash tool calls in parallel.\n    - If the commands depend on each other and must run sequentially, use a single Bash call with \'&&\' to chain them together (e.g., `git add . && git commit -m "message" && git push`). For instance, if one operation must complete before another starts (like mkdir before cp, Write before Bash for git operations, or git add before git commit), run these operations sequentially instead.\n    - Use \';\' only when you need to run commands sequentially but don\'t care if earlier commands fail\n    - DO NOT use newlines to separate commands (newlines are ok in quoted strings)\n  - Try to maintain your current working directory throughout the session by using absolute paths and avoiding usage of `cd`. You may use `cd` if the User explicitly requests it.\n    <good-example>\n    pytest /foo/bar/tests\n    </good-example>\n    <bad-example>\n    cd /foo/bar && pytest tests\n    </bad-example>\n\n# Committing changes with git\n\nOnly create commits when requested by the user. If unclear, ask first. When the user asks you to create a new git commit, follow these steps carefully:\n\nGit Safety Protocol:\n- NEVER update the git config\n- NEVER run destructive/irreversible git commands (like push --force, hard reset, etc) unless the user explicitly requests them \n- NEVER skip hooks (--no-verify, --no-gpg-sign, etc) unless the user explicitly requests it\n- NEVER run force push to main/master, warn the user if they request it\n- Avoid git commit --amend.  ONLY use --amend when either (1) user explicitly requested amend OR (2) adding edits from pre-commit hook (additional instructions below) \n- Before amending: ALWAYS check authorship (git log -1 --format=\'%an %ae\')\n- NEVER commit changes unless the user explicitly asks you to. It is VERY IMPORTANT to only commit when explicitly asked, otherwise the user will feel that you are being too proactive.\n\n1. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following bash commands in parallel, each using the Bash tool:\n  - Run a git status command to see all untracked files.\n  - Run a git diff command to see both staged and unstaged changes that will be committed.\n  - Run a git log command to see recent commit messages, so that you can follow this repository\'s commit message style.\n2. Analyze all staged changes (both previously staged and newly added) and draft a commit message:\n  - Summarize the nature of the changes (eg. new feature, enhancement to an existing feature, bug fix, refactoring, test, docs, etc.). Ensure the message accurately reflects the changes and their purpose (i.e. "add" means a wholly new feature, "update" means an enhancement to an existing feature, "fix" means a bug fix, etc.).\n  - Do not commit files that likely contain secrets (.env, credentials.json, etc). Warn the user if they specifically request to commit those files\n  - Draft a concise (1-2 sentences) commit message that focuses on the "why" rather than the "what"\n  - Ensure it accurately reflects the changes and their purpose\n3. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following commands:\n   - Add relevant untracked files to the staging area.\n   - Create the commit with a message ending with:\n   🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\n   Co-Authored-By: Claude <noreply@anthropic.com>\n   - Run git status after the commit completes to verify success.\n   Note: git status depends on the commit completing, so run it sequentially after the commit.\n4. If the commit fails due to pre-commit hook changes, retry ONCE. If it succeeds but files were modified by the hook, verify it\'s safe to amend:\n   - Check authorship: git log -1 --format=\'%an %ae\'\n   - Check not pushed: git status shows "Your branch is ahead"\n   - If both true: amend your commit. Otherwise: create NEW commit (never amend other developers\' commits)\n\nImportant notes:\n- NEVER run additional commands to read or explore code, besides git bash commands\n- NEVER use the TodoWrite or Task tools\n- DO NOT push to the remote repository unless the user explicitly asks you to do so\n- IMPORTANT: Never use git commands with the -i flag (like git rebase -i or git add -i) since they require interactive input which is not supported.\n- If there are no changes to commit (i.e., no untracked files and no modifications), do not create an empty commit\n- In order to ensure good formatting, ALWAYS pass the commit message via a HEREDOC, a la this example:\n<example>\ngit commit -m "$(cat <<\'EOF\'\n   Commit message here.\n\n   🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\n   Co-Authored-By: Claude <noreply@anthropic.com>\n   EOF\n   )"\n</example>\n\n# Creating pull requests\nUse the gh command via the Bash tool for ALL GitHub-related tasks including working with issues, pull requests, checks, and releases. If given a Github URL use the gh command to get the information needed.\n\nIMPORTANT: When the user asks you to create a pull request, follow these steps carefully:\n\n1. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following bash commands in parallel using the Bash tool, in order to understand the current state of the branch since it diverged from the main branch:\n   - Run a git status command to see all untracked files\n   - Run a git diff command to see both staged and unstaged changes that will be committed\n   - Check if the current branch tracks a remote branch and is up to date with the remote, so you know if you need to push to the remote\n   - Run a git log command and `git diff [base-branch]...HEAD` to understand the full commit history for the current branch (from the time it diverged from the base branch)\n2. Analyze all changes that will be included in the pull request, making sure to look at all relevant commits (NOT just the latest commit, but ALL commits that will be included in the pull request!!!), and draft a pull request summary\n3. You can call multiple tools in a single response. When multiple independent pieces of information are requested and all commands are likely to succeed, run multiple tool calls in parallel for optimal performance. run the following commands in parallel:\n   - Create new branch if needed\n   - Push to remote with -u flag if needed\n   - Create PR using gh pr create with the format below. Use a HEREDOC to pass the body to ensure correct formatting.\n<example>\ngh pr create --title "the pr title" --body "$(cat <<\'EOF\'\n## Summary\n<1-3 bullet points>\n\n## Test plan\n[Bulleted markdown checklist of TODOs for testing the pull request...]\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\nEOF\n)"\n</example>\n\nImportant:\n- DO NOT use the TodoWrite or Task tools\n- Return the PR URL when you\'re done, so the user can see it\n\n# Other common operations\n- View comments on a Github PR: gh api repos/foo/bar/pulls/123/comments',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "Glob",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "pattern": {
+                                "type": "string",
+                                "description": "The glob pattern to match files against",
+                            },
+                            "path": {
+                                "type": "string",
+                                "description": 'The directory to search in. If not specified, the current working directory will be used. IMPORTANT: Omit this field to use the default directory. DO NOT enter "undefined" or "null" - simply omit it for the default behavior. Must be a valid directory path if provided.',
+                            },
+                        },
+                        "required": ["pattern"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": '- Fast file pattern matching tool that works with any codebase size\n- Supports glob patterns like "**/*.js" or "src/**/*.ts"\n- Returns matching file paths sorted by modification time\n- Use this tool when you need to find files by name patterns\n- When you are doing an open ended search that may require multiple rounds of globbing and grepping, use the Agent tool instead\n- You can call multiple tools in a single response. It is always better to speculatively perform multiple searches in parallel if they are potentially useful.',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "Grep",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "pattern": {
+                                "type": "string",
+                                "description": "The regular expression pattern to search for in file contents",
+                            },
+                            "path": {
+                                "type": "string",
+                                "description": "File or directory to search in (rg PATH). Defaults to current working directory.",
+                            },
+                            "glob": {
+                                "type": "string",
+                                "description": 'Glob pattern to filter files (e.g. "*.js", "*.{ts,tsx}") - maps to rg --glob',
+                            },
+                            "output_mode": {
+                                "type": "string",
+                                "enum": ["content", "files_with_matches", "count"],
+                                "description": 'Output mode: "content" shows matching lines (supports -A/-B/-C context, -n line numbers, head_limit), "files_with_matches" shows file paths (supports head_limit), "count" shows match counts (supports head_limit). Defaults to "files_with_matches".',
+                            },
+                            "-B": {
+                                "type": "number",
+                                "description": 'Number of lines to show before each match (rg -B). Requires output_mode: "content", ignored otherwise.',
+                            },
+                            "-A": {
+                                "type": "number",
+                                "description": 'Number of lines to show after each match (rg -A). Requires output_mode: "content", ignored otherwise.',
+                            },
+                            "-C": {
+                                "type": "number",
+                                "description": 'Number of lines to show before and after each match (rg -C). Requires output_mode: "content", ignored otherwise.',
+                            },
+                            "-n": {
+                                "type": "boolean",
+                                "description": 'Show line numbers in output (rg -n). Requires output_mode: "content", ignored otherwise.',
+                            },
+                            "-i": {
+                                "type": "boolean",
+                                "description": "Case insensitive search (rg -i)",
+                            },
+                            "type": {
+                                "type": "string",
+                                "description": "File type to search (rg --type). Common types: js, py, rust, go, java, etc. More efficient than include for standard file types.",
+                            },
+                            "head_limit": {
+                                "type": "number",
+                                "description": 'Limit output to first N lines/entries, equivalent to "| head -N". Works across all output modes: content (limits output lines), files_with_matches (limits file paths), count (limits count entries). When unspecified, shows all results from ripgrep.',
+                            },
+                            "multiline": {
+                                "type": "boolean",
+                                "description": "Enable multiline mode where . matches newlines and patterns can span lines (rg -U --multiline-dotall). Default: false.",
+                            },
+                        },
+                        "required": ["pattern"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": 'A powerful search tool built on ripgrep\n\n  Usage:\n  - ALWAYS use Grep for search tasks. NEVER invoke `grep` or `rg` as a Bash command. The Grep tool has been optimized for correct permissions and access.\n  - Supports full regex syntax (e.g., "log.*Error", "function\\s+\\w+")\n  - Filter files with glob parameter (e.g., "*.js", "**/*.tsx") or type parameter (e.g., "js", "py", "rust")\n  - Output modes: "content" shows matching lines, "files_with_matches" shows only file paths (default), "count" shows match counts\n  - Use Task tool for open-ended searches requiring multiple rounds\n  - Pattern syntax: Uses ripgrep (not grep) - literal braces need escaping (use `interface\\{\\}` to find `interface{}` in Go code)\n  - Multiline matching: By default patterns match within single lines only. For cross-line patterns like `struct \\{[\\s\\S]*?field`, use `multiline: true`\n',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "ExitPlanMode",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "plan": {
+                                "type": "string",
+                                "description": "The plan you came up with, that you want to run by the user for approval. Supports markdown. The plan should be pretty concise.",
+                            }
+                        },
+                        "required": ["plan"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": 'Use this tool when you are in plan mode and have finished presenting your plan and are ready to code. This will prompt the user to exit plan mode.\nIMPORTANT: Only use this tool when the task requires planning the implementation steps of a task that requires writing code. For research tasks where you\'re gathering information, searching files, reading files or in general trying to understand the codebase - do NOT use this tool.\n\nEg.\n1. Initial task: "Search for and understand the implementation of vim mode in the codebase" - Do not use the exit plan mode tool because you are not planning the implementation steps of a task.\n2. Initial task: "Help me implement yank mode for vim" - Use the exit plan mode tool after you have finished planning the implementation steps of the task.\n',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "Read",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "file_path": {
+                                "type": "string",
+                                "description": "The absolute path to the file to read",
+                            },
+                            "offset": {
+                                "type": "number",
+                                "description": "The line number to start reading from. Only provide if the file is too large to read at once",
+                            },
+                            "limit": {
+                                "type": "number",
+                                "description": "The number of lines to read. Only provide if the file is too large to read at once.",
+                            },
+                        },
+                        "required": ["file_path"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "Reads a file from the local filesystem. You can access any file directly by using this tool.\nAssume this tool is able to read all files on the machine. If the User provides a path to a file assume that path is valid. It is okay to read a file that does not exist; an error will be returned.\n\nUsage:\n- The file_path parameter must be an absolute path, not a relative path\n- By default, it reads up to 2000 lines starting from the beginning of the file\n- You can optionally specify a line offset and limit (especially handy for long files), but it's recommended to read the whole file by not providing these parameters\n- Any lines longer than 2000 characters will be truncated\n- Results are returned using cat -n format, with line numbers starting at 1\n- This tool allows Claude Code to read images (eg PNG, JPG, etc). When reading an image file the contents are presented visually as Claude Code is a multimodal LLM.\n- This tool can read PDF files (.pdf). PDFs are processed page by page, extracting both text and visual content for analysis.\n- This tool can read Jupyter notebooks (.ipynb files) and returns all cells with their outputs, combining code, text, and visualizations.\n- This tool can only read files, not directories. To read a directory, use an ls command via the Bash tool.\n- You can call multiple tools in a single response. It is always better to speculatively read multiple potentially useful files in parallel.\n- You will regularly be asked to read screenshots. If the user provides a path to a screenshot, ALWAYS use this tool to view the file at the path. This tool will work with all temporary file paths.\n- If you read a file that exists but has empty contents you will receive a system reminder warning in place of file contents.",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "Edit",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "file_path": {
+                                "type": "string",
+                                "description": "The absolute path to the file to modify",
+                            },
+                            "old_string": {
+                                "type": "string",
+                                "description": "The text to replace",
+                            },
+                            "new_string": {
+                                "type": "string",
+                                "description": "The text to replace it with (must be different from old_string)",
+                            },
+                            "replace_all": {
+                                "type": "boolean",
+                                "default": False,
+                                "description": "Replace all occurences of old_string (default false)",
+                            },
+                        },
+                        "required": ["file_path", "old_string", "new_string"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "Performs exact string replacements in files. \n\nUsage:\n- You must use your `Read` tool at least once in the conversation before editing. This tool will error if you attempt an edit without reading the file. \n- When editing text from Read tool output, ensure you preserve the exact indentation (tabs/spaces) as it appears AFTER the line number prefix. The line number prefix format is: spaces + line number + tab. Everything after that tab is the actual file content to match. Never include any part of the line number prefix in the old_string or new_string.\n- ALWAYS prefer editing existing files in the codebase. NEVER write new files unless explicitly required.\n- Only use emojis if the user explicitly requests it. Avoid adding emojis to files unless asked.\n- The edit will FAIL if `old_string` is not unique in the file. Either provide a larger string with more surrounding context to make it unique or use `replace_all` to change every instance of `old_string`. \n- Use `replace_all` for replacing and renaming strings across the file. This parameter is useful if you want to rename a variable for instance.",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "Write",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "file_path": {
+                                "type": "string",
+                                "description": "The absolute path to the file to write (must be absolute, not relative)",
+                            },
+                            "content": {
+                                "type": "string",
+                                "description": "The content to write to the file",
+                            },
+                        },
+                        "required": ["file_path", "content"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "Writes a file to the local filesystem.\n\nUsage:\n- This tool will overwrite the existing file if there is one at the provided path.\n- If this is an existing file, you MUST use the Read tool first to read the file's contents. This tool will fail if you did not read the file first.\n- ALWAYS prefer editing existing files in the codebase. NEVER write new files unless explicitly required.\n- NEVER proactively create documentation files (*.md) or README files. Only create documentation files if explicitly requested by the User.\n- Only use emojis if the user explicitly requests it. Avoid writing emojis to files unless asked.",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "NotebookEdit",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "notebook_path": {
+                                "type": "string",
+                                "description": "The absolute path to the Jupyter notebook file to edit (must be absolute, not relative)",
+                            },
+                            "cell_id": {
+                                "type": "string",
+                                "description": "The ID of the cell to edit. When inserting a new cell, the new cell will be inserted after the cell with this ID, or at the beginning if not specified.",
+                            },
+                            "new_source": {
+                                "type": "string",
+                                "description": "The new source for the cell",
+                            },
+                            "cell_type": {
+                                "type": "string",
+                                "enum": ["code", "markdown"],
+                                "description": "The type of the cell (code or markdown). If not specified, it defaults to the current cell type. If using edit_mode=insert, this is required.",
+                            },
+                            "edit_mode": {
+                                "type": "string",
+                                "enum": ["replace", "insert", "delete"],
+                                "description": "The type of edit to make (replace, insert, delete). Defaults to replace.",
+                            },
+                        },
+                        "required": ["notebook_path", "new_source"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "Completely replaces the contents of a specific cell in a Jupyter notebook (.ipynb file) with new source. Jupyter notebooks are interactive documents that combine code, text, and visualizations, commonly used for data analysis and scientific computing. The notebook_path parameter must be an absolute path, not a relative path. The cell_number is 0-indexed. Use edit_mode=insert to add a new cell at the index specified by cell_number. Use edit_mode=delete to delete the cell at the index specified by cell_number.",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "WebFetch",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "url": {
+                                "type": "string",
+                                "format": "uri",
+                                "description": "The URL to fetch content from",
+                            },
+                            "prompt": {
+                                "type": "string",
+                                "description": "The prompt to run on the fetched content",
+                            },
+                        },
+                        "required": ["url", "prompt"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": '\n- Fetches content from a specified URL and processes it using an AI model\n- Takes a URL and a prompt as input\n- Fetches the URL content, converts HTML to markdown\n- Processes the content with the prompt using a small, fast model\n- Returns the model\'s response about the content\n- Use this tool when you need to retrieve and analyze web content\n\nUsage notes:\n  - IMPORTANT: If an MCP-provided web fetch tool is available, prefer using that tool instead of this one, as it may have fewer restrictions. All MCP-provided tools start with "mcp__".\n  - The URL must be a fully-formed valid URL\n  - HTTP URLs will be automatically upgraded to HTTPS\n  - The prompt should describe what information you want to extract from the page\n  - This tool is read-only and does not modify any files\n  - Results may be summarized if the content is very large\n  - Includes a self-cleaning 15-minute cache for faster responses when repeatedly accessing the same URL\n  - When a URL redirects to a different host, the tool will inform you and provide the redirect URL in a special format. You should then make a new WebFetch request with the redirect URL to fetch the content.\n',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "TodoWrite",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "todos": {
+                                "type": "array",
+                                "items": {
+                                    "type": "object",
+                                    "properties": {
+                                        "content": {"type": "string", "minLength": 1},
+                                        "status": {
+                                            "type": "string",
+                                            "enum": [
+                                                "pending",
+                                                "in_progress",
+                                                "completed",
+                                            ],
+                                        },
+                                        "activeForm": {
+                                            "type": "string",
+                                            "minLength": 1,
+                                        },
+                                    },
+                                    "required": ["content", "status", "activeForm"],
+                                    "additionalProperties": False,
+                                },
+                                "description": "The updated todo list",
+                            }
+                        },
+                        "required": ["todos"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "Use this tool to create and manage a structured task list for your current coding session. This helps you track progress, organize complex tasks, and demonstrate thoroughness to the user.\nIt also helps the user understand the progress of the task and overall progress of their requests.\n\n## When to Use This Tool\nUse this tool proactively in these scenarios:\n\n1. Complex multi-step tasks - When a task requires 3 or more distinct steps or actions\n2. Non-trivial and complex tasks - Tasks that require careful planning or multiple operations\n3. User explicitly requests todo list - When the user directly asks you to use the todo list\n4. User provides multiple tasks - When users provide a list of things to be done (numbered or comma-separated)\n5. After receiving new instructions - Immediately capture user requirements as todos\n6. When you start working on a task - Mark it as in_progress BEFORE beginning work. Ideally you should only have one todo as in_progress at a time\n7. After completing a task - Mark it as completed and add any new follow-up tasks discovered during implementation\n\n## When NOT to Use This Tool\n\nSkip using this tool when:\n1. There is only a single, straightforward task\n2. The task is trivial and tracking it provides no organizational benefit\n3. The task can be completed in less than 3 trivial steps\n4. The task is purely conversational or informational\n\nNOTE that you should not use this tool if there is only one trivial task to do. In this case you are better off just doing the task directly.\n\n## Examples of When to Use the Todo List\n\n<example>\nUser: I want to add a dark mode toggle to the application settings. Make sure you run the tests and build when you're done!\nAssistant: I'll help add a dark mode toggle to your application settings. Let me create a todo list to track this implementation.\n*Creates todo list with the following items:*\n1. Creating dark mode toggle component in Settings page\n2. Adding dark mode state management (context/store)\n3. Implementing CSS-in-JS styles for dark theme\n4. Updating existing components to support theme switching\n5. Running tests and build process, addressing any failures or errors that occur\n*Begins working on the first task*\n\n<reasoning>\nThe assistant used the todo list because:\n1. Adding dark mode is a multi-step feature requiring UI, state management, and styling changes\n2. The user explicitly requested tests and build be run afterward\n3. The assistant inferred that tests and build need to pass by adding \"Ensure tests and build succeed\" as the final task\n</reasoning>\n</example>\n\n<example>\nUser: Help me rename the function getCwd to getCurrentWorkingDirectory across my project\nAssistant: Let me first search through your codebase to find all occurrences of 'getCwd'.\n*Uses grep or search tools to locate all instances of getCwd in the codebase*\nAssistant: I've found 15 instances of 'getCwd' across 8 different files. Let me create a todo list to track these changes.\n*Creates todo list with specific items for each file that needs updating*\n\n<reasoning>\nThe assistant used the todo list because:\n1. First, the assistant searched to understand the scope of the task\n2. Upon finding multiple occurrences across different files, it determined this was a complex task with multiple steps\n3. The todo list helps ensure every instance is tracked and updated systematically\n4. This approach prevents missing any occurrences and maintains code consistency\n</reasoning>\n</example>\n\n\n<example>\nUser: I need to implement these features for my e-commerce site: user registration, product catalog, shopping cart, and checkout flow.\nAssistant: I'll help implement these features. First, let's add all the features to the todo list.\n*Creates a todo list breaking down each feature into specific tasks based on the project architecture*\nAssistant: Let's start with user registration. This will involve creating database models, API endpoints, and frontend forms that integrate with your existing authentication system.\n\n<reasoning>\nThe assistant used the todo list because:\n1. The user provided multiple complex features to implement in a comma separated list\n2. The todo list helps organize these large features into manageable tasks\n3. This approach allows for tracking progress across the entire implementation\n</reasoning>\n</example>\n\n<example>\nUser: Can you help optimize my React application? It's rendering slowly and has performance issues.</user>\nAssistant: I'll help optimize your React application. First, let me examine your codebase to identify potential performance bottlenecks.\n*Reviews component structure, render patterns, state management, and data fetching*\nAssistant: After analyzing your codebase, I've identified several performance issues. Let me create a todo list to track our optimization efforts.\n*Creates todo list with items like: 1) Implementing memoization for expensive calculations in ProductList, 2) Adding virtualization for long lists in Dashboard, 3) Optimizing image loading in Gallery component, 4) Fixing state update loops in ShoppingCart, 5) Reviewing bundle size and implementing code splitting*\nLet's start by implementing memoization for the expensive calculations in your ProductList component.</assistant>\n\n<reasoning>\nThe assistant used the todo list because:\n1. First, the assistant examined the codebase to identify specific performance issues\n2. Based on this analysis, it identified multiple optimization opportunities\n3. Performance optimization is a non-trivial task requiring multiple steps\n4. The todo list helps methodically track improvements across different components\n5. This systematic approach ensures all performance bottlenecks are addressed\n</reasoning>\n</example>\n\n## Examples of When NOT to Use the Todo List\n\n<example>\nUser: How do I print 'Hello World' in Python?\nAssistant: In Python, you can print \"Hello World\" with this simple code:\n\npython\nprint(\"Hello World\")\n\nThis will output the text \"Hello World\" to the console when executed.</assistant>\n\n<reasoning>\nThe assistant did not use the todo list because this is a single, trivial task that can be completed in one step. There's no need to track multiple tasks or steps for such a straightforward request.\n</reasoning>\n</example>\n\n<example>\nUser: What does the git status command do?\nAssistant: The git status command shows the current state of your working directory and staging area. It displays which changes have been staged, which haven't, and which files aren't being tracked by Git. This is a fundamental command for understanding the current state of your repository before making commits.\n\n<reasoning>\nThe assistant did not use the todo list because this is an informational request with no actual coding task to complete. The user is simply asking for an explanation, not for the assistant to perform multiple steps or tasks.\n</reasoning>\n</example>\n\n<example>\nUser: Can you add a comment to the calculateTotal function to explain what it does?\nAssistant: Sure, let me add a comment to the calculateTotal function to explain what it does.\n* Uses the Edit tool to add a comment to the calculateTotal function *\n\n<reasoning>\nThe assistant did not use the todo list because this is a single, straightforward task confined to one location in the code. Adding a comment doesn't require tracking multiple steps or systematic organization.\n</reasoning>\n</example>\n\n<example>\nUser: Run npm install for me and tell me what happens.\nAssistant: I'll run the npm install command for you.\n\n*Executes: npm install*\n\nThe command completed successfully. Here's the output:\n[Output of npm install command]\n\nAll dependencies have been installed according to your package.json file.\n\n<reasoning>\nThe assistant did not use the todo list because this is a single command execution with immediate results. There are no multiple steps to track or organize, making the todo list unnecessary for this straightforward task.\n</reasoning>\n</example>\n\n## Task States and Management\n\n1. **Task States**: Use these states to track progress:\n   - pending: Task not yet started\n   - in_progress: Currently working on (limit to ONE task at a time)\n   - completed: Task finished successfully\n\n   **IMPORTANT**: Task descriptions must have two forms:\n   - content: The imperative form describing what needs to be done (e.g., \"Run tests\", \"Build the project\")\n   - activeForm: The present continuous form shown during execution (e.g., \"Running tests\", \"Building the project\")\n\n2. **Task Management**:\n   - Update task status in real-time as you work\n   - Mark tasks complete IMMEDIATELY after finishing (don't batch completions)\n   - Exactly ONE task must be in_progress at any time (not less, not more)\n   - Complete current tasks before starting new ones\n   - Remove tasks that are no longer relevant from the list entirely\n\n3. **Task Completion Requirements**:\n   - ONLY mark a task as completed when you have FULLY accomplished it\n   - If you encounter errors, blockers, or cannot finish, keep the task as in_progress\n   - When blocked, create a new task describing what needs to be resolved\n   - Never mark a task as completed if:\n     - Tests are failing\n     - Implementation is partial\n     - You encountered unresolved errors\n     - You couldn't find necessary files or dependencies\n\n4. **Task Breakdown**:\n   - Create specific, actionable items\n   - Break complex tasks into smaller, manageable steps\n   - Use clear, descriptive task names\n   - Always provide both forms:\n     - content: \"Fix authentication bug\"\n     - activeForm: \"Fixing authentication bug\"\n\nWhen in doubt, use this tool. Being proactive with task management demonstrates attentiveness and ensures you complete all requirements successfully.\n",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "WebSearch",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "query": {
+                                "type": "string",
+                                "minLength": 2,
+                                "description": "The search query to use",
+                            },
+                            "allowed_domains": {
+                                "type": "array",
+                                "items": {"type": "string"},
+                                "description": "Only include search results from these domains",
+                            },
+                            "blocked_domains": {
+                                "type": "array",
+                                "items": {"type": "string"},
+                                "description": "Never include search results from these domains",
+                            },
+                        },
+                        "required": ["query"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": '\n- Allows Claude to search the web and use the results to inform responses\n- Provides up-to-date information for current events and recent data\n- Returns search result information formatted as search result blocks\n- Use this tool for accessing information beyond Claude\'s knowledge cutoff\n- Searches are performed automatically within a single API call\n\nUsage notes:\n  - Domain filtering is supported to include or block specific websites\n  - Web search is only available in the US\n  - Account for "Today\'s date" in <env>. For example, if <env> says "Today\'s date: 2025-07-01", and the user wants the latest docs, do not use 2024 in the search query. Use 2025.\n',
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "BashOutput",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "bash_id": {
+                                "type": "string",
+                                "description": "The ID of the background shell to retrieve output from",
+                            },
+                            "filter": {
+                                "type": "string",
+                                "description": "Optional regular expression to filter the output lines. Only lines matching this regex will be included in the result. Any lines that do not match will no longer be available to read.",
+                            },
+                        },
+                        "required": ["bash_id"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "\n- Retrieves output from a running or completed background bash shell\n- Takes a shell_id parameter identifying the shell\n- Always returns only new output since the last check\n- Returns stdout and stderr output along with shell status\n- Supports optional regex filtering to show only lines matching a pattern\n- Use this tool when you need to monitor or check the output of a long-running shell\n- Shell IDs can be found using the /bashes command\n",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "KillShell",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "shell_id": {
+                                "type": "string",
+                                "description": "The ID of the background shell to kill",
+                            }
+                        },
+                        "required": ["shell_id"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": "\n- Kills a running background bash shell by its ID\n- Takes a shell_id parameter identifying the shell to kill\n- Returns a success or failure status \n- Use this tool when you need to terminate a long-running shell\n- Shell IDs can be found using the /bashes command\n",
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "SlashCommand",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "command": {
+                                "type": "string",
+                                "description": 'The slash command to execute with its arguments, e.g., "/review-pr 123"',
+                            }
+                        },
+                        "required": ["command"],
+                        "additionalProperties": False,
+                        "$schema": "http://json-schema.org/draft-07/schema#",
+                    },
+                    "description": 'Execute a slash command within the main conversation\n\n**IMPORTANT - Intent Matching:**\nBefore starting any task, CHECK if the user\'s request matches one of the slash commands listed below. This tool exists to route user intentions to specialized workflows.\n\nHow slash commands work:\nWhen you use this tool or when a user types a slash command, you will see <command-message>{name} is running…</command-message> followed by the expanded prompt. For example, if .claude/commands/foo.md contains "Print today\'s date", then /foo expands to that prompt in the next message.\n\nUsage:\n- `command` (required): The slash command to execute, including any arguments\n- Example: `command: "/review-pr 123"`\n\nIMPORTANT: Only use this tool for custom slash commands that appear in the Available Commands list below. Do NOT use for:\n- Built-in CLI commands (like /help, /clear, etc.)\n- Commands not shown in the list\n- Commands you think might exist but aren\'t listed\n\nNotes:\n- When a user requests multiple slash commands, execute each one sequentially and check for <command-message>{name} is running…</command-message> to verify each has been processed\n- Do not invoke a command that is already running. For example, if you see <command-message>foo is running…</command-message>, do NOT use this tool with "/foo" - process the expanded prompt in the following message\n- Only custom slash commands with descriptions are listed in Available Commands. If a user\'s command is not listed, ask them to check the slash command file and consult the docs.\n',
+                },
+            },
+        ],
+        "max_tokens": 32000,
+        "temperature": 1,
+        "stream": True,
+        "stream_options": {"include_usage": True},
+    }
+
+    response = litellm.completion(**completion_kwargs)
+    print("response: ", response)
+    for chunk in response:
+        print("chunk: ", chunk)
diff --git a/tests/local_testing/test_embedding.py b/tests/local_testing/test_embedding.py
index 60e2a0764b..29b0f45a57 100644
--- a/tests/local_testing/test_embedding.py
+++ b/tests/local_testing/test_embedding.py
@@ -108,12 +108,12 @@ def test_openai_embedding_3():
     "model, api_base, api_key",
     [
         # ("azure/text-embedding-ada-002", None, None),
-        ("together_ai/togethercomputer/m2-bert-80M-8k-retrieval", None, None),
+        ("together_ai/BAAI/bge-base-en-v1.5", None, None),  # Updated to current Together AI embedding model
     ],
 )
 @pytest.mark.parametrize("sync_mode", [True, False])
 @pytest.mark.asyncio
-async def test_openai_azure_embedding_simple(model, api_base, api_key, sync_mode):
+async def test_together_ai_embedding(model, api_base, api_key, sync_mode):
     try:
         os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
         litellm.model_cost = litellm.get_model_cost_map(url="")
diff --git a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
index ef76cfa02d..40a6bbd8e0 100644
--- a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
+++ b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
@@ -84,3 +84,192 @@ def test_openai_responses_chunk_parser_reasoning_summary():
     assert delta.reasoning_content == "**Compar"
     assert delta.tool_calls is None
     assert delta.function_call is None
+
+
+def test_transform_response_with_reasoning_and_output():
+    """Test transform_response handles ResponsesAPIResponse with reasoning items and output messages."""
+    from unittest.mock import Mock
+
+    from openai.types.responses import ResponseOutputMessage, ResponseOutputText
+    from openai.types.responses.response_reasoning_item import (
+        ResponseReasoningItem,
+        Summary,
+    )
+
+    from litellm.completion_extras.litellm_responses_transformation.transformation import (
+        LiteLLMResponsesTransformationHandler,
+    )
+    from litellm.types.llms.openai import (
+        InputTokensDetails,
+        OutputTokensDetails,
+        ResponseAPIUsage,
+        ResponsesAPIResponse,
+    )
+    from litellm.types.utils import ModelResponse, Usage
+
+    handler = LiteLLMResponsesTransformationHandler()
+
+    # Create the reasoning item with summary
+    reasoning_summary = Summary(
+        text="**Creating a poem**\n\nThe user wants a poem without constraints, which is great! I need to focus on keeping it original and evocative.",
+        type="summary_text",
+    )
+    reasoning_item = ResponseReasoningItem(
+        id="rs_04c8021b8b3188a00068e9ae08c2d8819d82268b129351a979",
+        summary=[reasoning_summary],
+        type="reasoning",
+        content=None,
+        encrypted_content=None,
+        status=None,
+    )
+
+    # Create the output message with the poem
+    poem_text = """I found a pocket of evening
+hidden behind the gutters of the day —
+a small, folded sky of blue
+that hummed like a hush.
+
+The streetlight rehearsed its first apology,
+slowly pulling down the curtain
+on the city's impatient laughter.
+Windows blinked awake like tired eyes,
+and the air remembered rain it once promised.
+
+You walked by with a map of quiet in your hands,
+tracing routes that led away from all the clocks.
+For a moment the coffee shop's bell
+tied our minutes together — bright and accidental —
+and the world refined itself to the size of that bell's sound.
+
+We did not name the solitude; we sipped it.
+You left a warmth on the bench like a small sun,
+and night stitched the rest into blue and shadow.
+Tomorrow will bring its petitions and promises,
+but for now the city breathes slow and wide,
+and I learn to carry this small calm home."""
+
+    output_text = ResponseOutputText(
+        annotations=[], text=poem_text, type="output_text", logprobs=[]
+    )
+    output_message = ResponseOutputMessage(
+        id="msg_04c8021b8b3188a00068e9ae0b92f4819dac64d85b4abb67ec",
+        content=[output_text],
+        role="assistant",
+        status="completed",
+        type="message",
+    )
+
+    # Create usage information
+    usage = ResponseAPIUsage(
+        input_tokens=16,
+        input_tokens_details=InputTokensDetails(
+            audio_tokens=None, cached_tokens=0, text_tokens=None
+        ),
+        output_tokens=195,
+        output_tokens_details=OutputTokensDetails(reasoning_tokens=0, text_tokens=None),
+        total_tokens=211,
+        cost=None,
+    )
+
+    # Create the full ResponsesAPIResponse
+    raw_response = ResponsesAPIResponse(
+        id="resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDpOb25lO3Jlc3BvbnNlX2lkOnJlc3BfMDRjODAyMWI4YjMxODhhMDAwNjhlOWFlMDgyYmZjODE5ZDhmNDk0OTI5MWMzMzM4YTc=",
+        created_at=1760144904,
+        error=None,
+        incomplete_details=None,
+        instructions=None,
+        metadata={},
+        model="gpt-5-mini-2025-08-07",
+        object="response",
+        output=[reasoning_item, output_message],
+        parallel_tool_calls=True,
+        temperature=1.0,
+        tool_choice="auto",
+        tools=[],
+        top_p=1.0,
+        max_output_tokens=None,
+        previous_response_id=None,
+        reasoning={"effort": "low", "summary": "detailed"},
+        status="completed",
+        text={"format": {"type": "text"}, "verbosity": "medium"},
+        truncation="disabled",
+        usage=usage,
+        user=None,
+        store=True,
+        background=False,
+        billing={"payer": "developer"},
+        max_tool_calls=None,
+        prompt_cache_key=None,
+        safety_identifier=None,
+        service_tier="default",
+        top_logprobs=0,
+    )
+
+    # Create empty model_response
+    model_response = ModelResponse(
+        id="chatcmpl-42e863c4-7a31-4229-84f3-4c3a6eeb7610",
+        created=1760144904,
+        model=None,
+        object="chat.completion",
+        system_fingerprint=None,
+        choices=[],
+        usage=Usage(completion_tokens=0, prompt_tokens=0, total_tokens=0),
+    )
+
+    # Create mock objects for required parameters
+    logging_obj = Mock()
+    messages = [{"role": "user", "content": "Think of a poem, and then write it."}]
+    request_data = {"model": "gpt-5-mini"}
+    optional_params = {"reasoning_effort": "low", "extra_body": {}}
+    litellm_params = {"acompletion": False, "api_key": None}
+    encoding = Mock()
+
+    # Call transform_response
+    result = handler.transform_response(
+        model="gpt-5-mini",
+        raw_response=raw_response,
+        model_response=model_response,
+        logging_obj=logging_obj,
+        request_data=request_data,
+        messages=messages,
+        optional_params=optional_params,
+        litellm_params=litellm_params,
+        encoding=encoding,
+        api_key=None,
+        json_mode=None,
+    )
+
+    # Assertions
+    assert result.model == "gpt-5-mini"
+    assert len(result.choices) == 1
+
+    # Check the choice
+    choice = result.choices[0]
+    assert choice.finish_reason == "stop"
+    assert choice.index == 0
+    assert choice.message.role == "assistant"
+    assert choice.message.content == poem_text
+
+    # Check usage
+    assert result.usage.prompt_tokens == 16
+    assert result.usage.completion_tokens == 195
+    assert result.usage.total_tokens == 211
+
+    # Check reasoning content
+    assert choice.message.reasoning_content == reasoning_summary.text
+
+    print("✓ transform_response correctly handled reasoning items and output messages")
+
+
+def test_convert_tools_to_responses_format():
+    from litellm.completion_extras.litellm_responses_transformation.transformation import (
+        LiteLLMResponsesTransformationHandler,
+    )
+
+    handler = LiteLLMResponsesTransformationHandler()
+
+    tools = [{"type": "function", "function": {"name": "test", "arguments": "test"}}]
+
+    result = handler._convert_tools_to_responses_format(tools)
+
+    assert result[0]["name"] == "test"
diff --git a/tests/test_litellm/litellm_core_utils/test_sensitive_data_masker.py b/tests/test_litellm/litellm_core_utils/test_sensitive_data_masker.py
new file mode 100644
index 0000000000..6356c5137b
--- /dev/null
+++ b/tests/test_litellm/litellm_core_utils/test_sensitive_data_masker.py
@@ -0,0 +1,31 @@
+"""
+Unit tests for SensitiveDataMasker - List Preservation
+"""
+
+import os
+import sys
+
+import pytest
+
+# Add the parent directory to the system path
+sys.path.insert(0, os.path.abspath("../../.."))
+
+from litellm.litellm_core_utils.sensitive_data_masker import SensitiveDataMasker
+
+
+def test_lists_are_preserved_not_converted_to_strings():
+    """
+    Regression test: Ensure lists are preserved as JSON arrays, not converted to strings.
+    Previously, tags field in /model/info was returned as "['tag1', 'tag2']" instead of ["tag1", "tag2"]
+    """
+    masker = SensitiveDataMasker()
+    
+    data = {
+        "tags": ["East US 2", "production", "test"],
+    }
+    
+    masked = masker.mask_dict(data)
+    
+    # Must be a list, not a string
+    assert isinstance(masked["tags"], list)
+    assert masked["tags"] == ["East US 2", "production", "test"]
diff --git a/tests/test_litellm/llms/custom_httpx/test_aiohttp_transport.py b/tests/test_litellm/llms/custom_httpx/test_aiohttp_transport.py
index f296f07617..4059b5b2e7 100644
--- a/tests/test_litellm/llms/custom_httpx/test_aiohttp_transport.py
+++ b/tests/test_litellm/llms/custom_httpx/test_aiohttp_transport.py
@@ -181,6 +181,7 @@ async def test_timeout_exception_gets_mapped():
 @pytest.mark.asyncio
 async def test_handle_async_request_uses_env_proxy(monkeypatch):
     """Aiohttp transport should honor HTTP(S)_PROXY env vars"""
+    import asyncio
     proxy_url = "http://proxy.local:3128"
     monkeypatch.setenv("HTTP_PROXY", proxy_url)
     monkeypatch.setenv("http_proxy", proxy_url)
@@ -191,6 +192,13 @@ async def test_handle_async_request_uses_env_proxy(monkeypatch):
     captured = {}
 
     class FakeSession:
+        def __init__(self):
+            self.closed = False
+            try:
+                self._loop = asyncio.get_running_loop()
+            except RuntimeError:
+                self._loop = None
+        
         def request(self, *args, **kwargs):
             captured["proxy"] = kwargs.get("proxy")
 
@@ -214,8 +222,97 @@ async def test_handle_async_request_uses_env_proxy(monkeypatch):
 
             return Resp()
 
-    transport = LiteLLMAiohttpTransport(client=lambda: FakeSession())
+    transport = LiteLLMAiohttpTransport(client=lambda: FakeSession())  # type: ignore
     request = httpx.Request("GET", "http://example.com")
     await transport.handle_async_request(request)
 
     assert captured["proxy"] == proxy_url
+
+
+def _make_mock_response(should_fail=False, fail_count={"count": 0}):
+    """Helper to create a mock aiohttp response"""
+    class MockResp:
+        status = 200
+        headers = {}
+        
+        async def __aenter__(self):
+            if should_fail and fail_count["count"] < 1:
+                fail_count["count"] += 1
+                raise RuntimeError("Session is closed")
+            return self
+        
+        async def __aexit__(self, *args):
+            pass
+        
+        @property
+        def content(self):
+            class C:
+                async def iter_chunked(self, size):
+                    yield b"test"
+            return C()
+    
+    return MockResp()
+
+
+def _make_mock_session(closed=False):
+    """Helper to create a mock aiohttp session"""
+    import asyncio
+    
+    class MockSession:
+        def __init__(self):
+            self.closed = closed
+            try:
+                self._loop = asyncio.get_running_loop()
+            except RuntimeError:
+                self._loop = None
+        
+        def request(self, *args, **kwargs):
+            return _make_mock_response()
+    
+    return MockSession()
+
+
+@pytest.mark.asyncio
+async def test_handle_closed_session_before_request():
+    """Test that closed sessions are detected and recreated"""
+    counts = {"sessions": 0}
+    
+    def factory():
+        counts["sessions"] += 1
+        return _make_mock_session(closed=counts["sessions"] == 1)
+    
+    transport = LiteLLMAiohttpTransport(client=factory)  # type: ignore
+    response = await transport.handle_async_request(httpx.Request("GET", "http://example.com"))
+    
+    assert counts["sessions"] == 2  # Created 2 sessions: closed one, then open one
+    assert response.status_code == 200
+
+
+@pytest.mark.asyncio
+async def test_handle_session_closed_during_request():
+    """Test that sessions closed during request are handled with retry"""
+    counts = {"sessions": 0, "requests": 0}
+    fail_count = {"count": 0}
+    
+    class MockSession:
+        def __init__(self):
+            self.closed = False
+            try:
+                self._loop = __import__("asyncio").get_running_loop()
+            except RuntimeError:
+                self._loop = None
+        
+        def request(self, *args, **kwargs):
+            counts["requests"] += 1
+            return _make_mock_response(should_fail=True, fail_count=fail_count)
+    
+    def factory():
+        counts["sessions"] += 1
+        return MockSession()
+    
+    transport = LiteLLMAiohttpTransport(client=factory)  # type: ignore
+    response = await transport.handle_async_request(httpx.Request("GET", "http://example.com"))
+    
+    assert counts["requests"] == 2  # First request failed, second succeeded
+    assert counts["sessions"] == 2  # Created 2 sessions for retry
+    assert response.status_code == 200
diff --git a/tests/test_litellm/llms/oci/chat/test_oci_cohere_tool_calls.py b/tests/test_litellm/llms/oci/chat/test_oci_cohere_tool_calls.py
new file mode 100644
index 0000000000..abbb7e3e30
--- /dev/null
+++ b/tests/test_litellm/llms/oci/chat/test_oci_cohere_tool_calls.py
@@ -0,0 +1,561 @@
+import datetime
+import httpx
+import pytest
+import json
+from unittest.mock import patch, MagicMock
+
+from litellm import ModelResponse
+from litellm.llms.oci.chat.transformation import (
+    OCIChatConfig,
+    get_vendor_from_model,
+    OCIStreamWrapper,
+)
+from litellm.types.llms.oci import OCIVendors
+
+# Test constants
+TEST_COMPARTMENT_ID = "ocid1.compartment.oc1..xxxxxx"
+BASE_OCI_PARAMS = {
+    "oci_region": "us-ashburn-1",
+    "oci_user": "ocid1.user.oc1..xxxxxxEXAMPLExxxxxx",
+    "oci_fingerprint": "4f:29:77:cc:b1:3e:55:ab:61:2a:de:47:f1:38:4c:90",
+    "oci_tenancy": "ocid1.tenancy.oc1..xxxxxxEXAMPLExxxxxx",
+    "oci_compartment_id": TEST_COMPARTMENT_ID,
+    "oci_key_file": "/path/to/private_key.pem",
+}
+
+
+class TestOCICohereToolCalls:
+    """Test Cohere tool calling functionality"""
+
+    def test_cohere_tool_definition_transformation(self):
+        """Test that OpenAI tool definitions are correctly transformed to Cohere format"""
+        config = OCIChatConfig()
+        
+        # OpenAI format tools
+        openai_tools = [
+            {
+                "type": "function",
+                "function": {
+                    "name": "get_weather",
+                    "description": "Get current weather for a location",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {
+                                "type": "string",
+                                "description": "The city or location to get weather for"
+                            },
+                            "unit": {
+                                "type": "string",
+                                "description": "Temperature unit (celsius or fahrenheit)",
+                                "enum": ["celsius", "fahrenheit"]
+                            }
+                        },
+                        "required": ["location"]
+                    }
+                }
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "calculate",
+                    "description": "Perform mathematical calculations",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "expression": {
+                                "type": "string",
+                                "description": "Mathematical expression to evaluate"
+                            }
+                        },
+                        "required": ["expression"]
+                    }
+                }
+            }
+        ]
+        
+        # Transform tools
+        cohere_tools = config.adapt_tool_definitions_to_cohere_standard(openai_tools)
+        
+        # Verify transformation
+        assert len(cohere_tools) == 2
+        
+        # Check first tool
+        weather_tool = cohere_tools[0]
+        assert weather_tool.name == "get_weather"
+        assert weather_tool.description == "Get current weather for a location"
+        assert "location" in weather_tool.parameterDefinitions
+        assert "unit" in weather_tool.parameterDefinitions
+        
+        # Check location parameter
+        location_param = weather_tool.parameterDefinitions["location"]
+        assert location_param.description == "The city or location to get weather for"
+        assert location_param.type == "string"
+        assert location_param.isRequired == True
+        
+        # Check unit parameter
+        unit_param = weather_tool.parameterDefinitions["unit"]
+        assert unit_param.description == "Temperature unit (celsius or fahrenheit)"
+        assert unit_param.type == "string"
+        assert unit_param.isRequired == False
+        
+        # Check second tool
+        calc_tool = cohere_tools[1]
+        assert calc_tool.name == "calculate"
+        assert calc_tool.description == "Perform mathematical calculations"
+        assert "expression" in calc_tool.parameterDefinitions
+        
+        expression_param = calc_tool.parameterDefinitions["expression"]
+        assert expression_param.description == "Mathematical expression to evaluate"
+        assert expression_param.type == "string"
+        assert expression_param.isRequired == True
+
+    def test_cohere_request_with_tools(self):
+        """Test request transformation for Cohere models with tools"""
+        config = OCIChatConfig()
+        messages = [{"role": "user", "content": "What's the weather like in Tokyo?"}]
+        tools = [
+            {
+                "type": "function",
+                "function": {
+                    "name": "get_weather",
+                    "description": "Get current weather for a location",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {
+                                "type": "string",
+                                "description": "The city or location to get weather for"
+                            }
+                        },
+                        "required": ["location"]
+                    }
+                }
+            }
+        ]
+        optional_params = {
+            "oci_compartment_id": TEST_COMPARTMENT_ID,
+            "tools": tools,
+        }
+
+        transformed_request = config.transform_request(
+            model="cohere.command-latest",
+            messages=messages,  # type: ignore
+            optional_params=optional_params,
+            litellm_params={},
+            headers={},
+        )
+
+        # Verify basic structure
+        assert transformed_request["compartmentId"] == TEST_COMPARTMENT_ID
+        assert transformed_request["servingMode"]["servingType"] == "ON_DEMAND"
+        assert transformed_request["servingMode"]["modelId"] == "cohere.command-latest"
+        
+        # Verify Cohere-specific structure
+        chat_request = transformed_request["chatRequest"]
+        assert chat_request["apiFormat"] == "COHERE"
+        assert chat_request["message"] == "What's the weather like in Tokyo?"
+        assert chat_request["chatHistory"] == []
+        
+        # Verify default parameters are included
+        assert chat_request["maxTokens"] == 600
+        assert chat_request["temperature"] == 1
+        assert chat_request["topK"] == 0
+        assert chat_request["topP"] == 0.75
+        assert chat_request["frequencyPenalty"] == 0
+        
+        # Verify tools are transformed correctly
+        assert "tools" in chat_request
+        assert len(chat_request["tools"]) == 1
+        tool = chat_request["tools"][0]
+        assert tool["name"] == "get_weather"
+        assert tool["description"] == "Get current weather for a location"
+        assert "parameterDefinitions" in tool
+        assert "location" in tool["parameterDefinitions"]
+
+    def test_cohere_response_with_tool_calls(self):
+        """Test response transformation for Cohere models with tool calls"""
+        config = OCIChatConfig()
+        
+        # Mock Cohere response with tool calls
+        mock_cohere_response = {
+            "modelId": "cohere.command-latest",
+            "modelVersion": "1.0",
+            "chatResponse": {
+                "apiFormat": "COHERE",
+                "text": "I will look up the weather in Tokyo.",
+                "finishReason": "COMPLETE",
+                "toolCalls": [
+                    {
+                        "name": "get_weather",
+                        "parameters": {
+                            "location": "Tokyo"
+                        }
+                    }
+                ],
+                "usage": {
+                    "promptTokens": 26,
+                    "completionTokens": 22,
+                    "totalTokens": 48
+                }
+            }
+        }
+
+        response = httpx.Response(
+            status_code=200, 
+            json=mock_cohere_response, 
+            headers={"Content-Type": "application/json"}
+        )
+        
+        result = config.transform_response(
+            model="cohere.command-latest",
+            raw_response=response,
+            model_response=ModelResponse(),
+            logging_obj={},  # type: ignore
+            request_data={},
+            messages=[],
+            optional_params={},
+            litellm_params={},
+            encoding={},
+        )
+
+        # Verify response structure
+        assert isinstance(result, ModelResponse)
+        assert result.model == "cohere.command-latest"
+        assert result.choices[0].message.content == "I will look up the weather in Tokyo."
+        
+        # Verify tool calls are present
+        assert result.choices[0].message.tool_calls is not None
+        assert len(result.choices[0].message.tool_calls) == 1
+        
+        tool_call = result.choices[0].message.tool_calls[0]
+        assert tool_call.id == "call_0"
+        assert tool_call.type == "function"
+        assert tool_call.function.name == "get_weather"
+        assert tool_call.function.arguments == '{"location": "Tokyo"}'
+        
+        # Verify usage
+        assert result.usage.prompt_tokens == 26
+        assert result.usage.completion_tokens == 22
+        assert result.usage.total_tokens == 48
+
+    def test_cohere_chat_history_with_tool_calls(self):
+        """Test chat history transformation with tool calls"""
+        config = OCIChatConfig()
+        
+        messages = [
+            {"role": "user", "content": "What's the weather like in Tokyo?"},
+            {
+                "role": "assistant", 
+                "content": "I will look up the weather in Tokyo.",
+                "tool_calls": [
+                    {
+                        "id": "call_0",
+                        "type": "function",
+                        "function": {
+                            "name": "get_weather",
+                            "arguments": '{"location": "Tokyo"}'
+                        }
+                    }
+                ]
+            },
+            {
+                "role": "tool",
+                "content": "The weather in Tokyo is 22°C with partly cloudy skies.",
+                "tool_call_id": "call_0"
+            }
+        ]
+        
+        chat_history = config.adapt_messages_to_cohere_standard(messages)
+        
+        # Verify chat history structure (excludes last message)
+        assert len(chat_history) == 2
+        
+        # Check user message
+        user_msg = chat_history[0]
+        assert user_msg.role == "USER"
+        assert user_msg.message == "What's the weather like in Tokyo?"
+        
+        # Check assistant message with tool calls
+        assistant_msg = chat_history[1]
+        assert assistant_msg.role == "CHATBOT"
+        assert assistant_msg.message == "I will look up the weather in Tokyo."
+        assert assistant_msg.toolCalls is not None
+        assert len(assistant_msg.toolCalls) == 1
+        assert assistant_msg.toolCalls[0].name == "get_weather"
+        # The parameters should be parsed as JSON
+        assert assistant_msg.toolCalls[0].parameters == {"location": "Tokyo"}
+        
+        # Note: The tool message (last message) is excluded from chat history
+        # This is the expected behavior for Cohere models
+
+    def test_cohere_streaming_chunk_handling(self):
+        """Test Cohere streaming chunk handling"""
+        # Mock the required parameters
+        mock_stream = MagicMock()
+        mock_model = "cohere.command-latest"
+        mock_logging = MagicMock()
+        
+        stream_wrapper = OCIStreamWrapper(
+            completion_stream=mock_stream,
+            model=mock_model,
+            logging_obj=mock_logging
+        )
+        
+        # Mock Cohere streaming chunk
+        cohere_chunk = {
+            "apiFormat": "COHERE",
+            "text": "I will look up the weather",
+            "index": 0
+        }
+        
+        chunk_data = f"data: {json.dumps(cohere_chunk)}"
+        result = stream_wrapper.chunk_creator(chunk_data)
+        
+        # Verify streaming chunk structure
+        assert result.choices[0].delta.content == "I will look up the weather"
+        assert result.choices[0].index == 0
+        assert result.choices[0].finish_reason is None
+
+    def test_cohere_streaming_finish_chunk(self):
+        """Test Cohere streaming finish chunk handling"""
+        # Mock the required parameters
+        mock_stream = MagicMock()
+        mock_model = "cohere.command-latest"
+        mock_logging = MagicMock()
+        
+        stream_wrapper = OCIStreamWrapper(
+            completion_stream=mock_stream,
+            model=mock_model,
+            logging_obj=mock_logging
+        )
+        
+        # Mock Cohere finish chunk
+        cohere_finish_chunk = {
+            "apiFormat": "COHERE",
+            "text": ".",
+            "index": 0,
+            "finishReason": "COMPLETE"
+        }
+        
+        chunk_data = f"data: {json.dumps(cohere_finish_chunk)}"
+        result = stream_wrapper.chunk_creator(chunk_data)
+        
+        # Verify finish chunk structure
+        assert result.choices[0].delta.content == "."
+        assert result.choices[0].index == 0
+        assert result.choices[0].finish_reason == "stop"  # COMPLETE is mapped to stop
+
+    def test_cohere_parameter_mapping_excludes_tool_choice(self):
+        """Test that tool_choice is excluded from Cohere parameter mapping"""
+        config = OCIChatConfig()
+        supported_params = config.get_supported_openai_params("cohere.command-latest")
+        
+        # Should support standard parameters
+        assert "stream" in supported_params
+        assert "max_tokens" in supported_params
+        assert "temperature" in supported_params
+        assert "tools" in supported_params
+        assert "top_p" in supported_params
+        
+        # Should NOT support tool_choice (removed for Cohere)
+        assert "tool_choice" not in supported_params
+
+    def test_cohere_default_parameters(self):
+        """Test that Cohere requests include required default parameters"""
+        config = OCIChatConfig()
+        messages = [{"role": "user", "content": "Hello"}]
+        optional_params = {"oci_compartment_id": TEST_COMPARTMENT_ID}
+
+        transformed_request = config.transform_request(
+            model="cohere.command-latest",
+            messages=messages,  # type: ignore
+            optional_params=optional_params,
+            litellm_params={},
+            headers={},
+        )
+
+        chat_request = transformed_request["chatRequest"]
+        
+        # Verify all required default parameters are present
+        assert chat_request["maxTokens"] == 600
+        assert chat_request["temperature"] == 1
+        assert chat_request["topK"] == 0
+        assert chat_request["topP"] == 0.75
+        assert chat_request["frequencyPenalty"] == 0
+
+    def test_cohere_parameter_override(self):
+        """Test that user-provided parameters override defaults"""
+        config = OCIChatConfig()
+        messages = [{"role": "user", "content": "Hello"}]
+        optional_params = {
+            "oci_compartment_id": TEST_COMPARTMENT_ID,
+            "temperature": 0.5,
+            "max_tokens": 1000,
+        }
+
+        transformed_request = config.transform_request(
+            model="cohere.command-latest",
+            messages=messages,  # type: ignore
+            optional_params=optional_params,
+            litellm_params={},
+            headers={},
+        )
+
+        chat_request = transformed_request["chatRequest"]
+        
+        # Verify user parameters override defaults
+        assert chat_request["temperature"] == 0.5
+        assert chat_request["maxTokens"] == 1000
+        
+        # Verify other defaults are still present
+        assert chat_request["topK"] == 0
+        assert chat_request["topP"] == 0.75
+        assert chat_request["frequencyPenalty"] == 0
+
+    def test_cohere_vendor_detection(self):
+        """Test that Cohere models are correctly identified"""
+        assert get_vendor_from_model("cohere.command-latest") == OCIVendors.COHERE
+        assert get_vendor_from_model("cohere.command-a-03-2025") == OCIVendors.COHERE
+        assert get_vendor_from_model("cohere.command-plus-latest") == OCIVendors.COHERE
+        assert get_vendor_from_model("cohere.command-r-plus-08-2024") == OCIVendors.COHERE
+        assert get_vendor_from_model("cohere.command-r-08-2024") == OCIVendors.COHERE
+
+    def test_cohere_error_handling_invalid_tool_format(self):
+        """Test error handling for invalid tool format"""
+        config = OCIChatConfig()
+        
+        # Invalid tool format (missing function key)
+        invalid_tools = [
+            {
+                "type": "function",
+                "name": "get_weather",  # Missing "function" wrapper
+                "description": "Get weather"
+            }
+        ]
+        
+        # The function should handle missing function key gracefully
+        cohere_tools = config.adapt_tool_definitions_to_cohere_standard(invalid_tools)
+        
+        # Should create a tool with empty name and description
+        assert len(cohere_tools) == 1
+        assert cohere_tools[0].name == ""
+        assert cohere_tools[0].description == ""
+
+    def test_cohere_response_without_tool_calls(self):
+        """Test response transformation without tool calls"""
+        config = OCIChatConfig()
+        
+        mock_cohere_response = {
+            "modelId": "cohere.command-latest",
+            "modelVersion": "1.0",
+            "chatResponse": {
+                "apiFormat": "COHERE",
+                "text": "Hello! How can I help you today?",
+                "finishReason": "COMPLETE",
+                "usage": {
+                    "promptTokens": 10,
+                    "completionTokens": 15,
+                    "totalTokens": 25
+                }
+            }
+        }
+
+        response = httpx.Response(
+            status_code=200, 
+            json=mock_cohere_response, 
+            headers={"Content-Type": "application/json"}
+        )
+        
+        result = config.transform_response(
+            model="cohere.command-latest",
+            raw_response=response,
+            model_response=ModelResponse(),
+            logging_obj={},  # type: ignore
+            request_data={},
+            messages=[],
+            optional_params={},
+            litellm_params={},
+            encoding={},
+        )
+
+        # Verify response structure
+        assert isinstance(result, ModelResponse)
+        assert result.model == "cohere.command-latest"
+        assert result.choices[0].message.content == "Hello! How can I help you today?"
+        assert result.choices[0].message.tool_calls is None
+        assert result.usage.prompt_tokens == 10
+        assert result.usage.completion_tokens == 15
+        assert result.usage.total_tokens == 25
+
+
+class TestOCICohereStreaming:
+    """Test Cohere streaming functionality"""
+    
+    def _create_stream_wrapper(self):
+        """Helper to create OCIStreamWrapper with required parameters"""
+        mock_stream = MagicMock()
+        mock_model = "cohere.command-latest"
+        mock_logging = MagicMock()
+        
+        return OCIStreamWrapper(
+            completion_stream=mock_stream,
+            model=mock_model,
+            logging_obj=mock_logging
+        )
+
+    def test_cohere_streaming_wrapper_initialization(self):
+        """Test OCIStreamWrapper initialization"""
+        stream_wrapper = self._create_stream_wrapper()
+        
+        assert hasattr(stream_wrapper, 'chunk_creator')
+        assert hasattr(stream_wrapper, '_handle_cohere_stream_chunk')
+        assert hasattr(stream_wrapper, '_handle_generic_stream_chunk')
+
+    def test_cohere_streaming_chunk_parsing(self):
+        """Test parsing of Cohere streaming chunks"""
+        stream_wrapper = self._create_stream_wrapper()
+        
+        # Test valid Cohere chunk
+        cohere_chunk = {
+            "apiFormat": "COHERE",
+            "text": "Hello",
+            "index": 0
+        }
+        chunk_data = f"data: {json.dumps(cohere_chunk)}"
+        
+        result = stream_wrapper.chunk_creator(chunk_data)
+        assert result.choices[0].delta.content == "Hello"
+        assert result.choices[0].index == 0
+
+    def test_cohere_streaming_invalid_chunk_format(self):
+        """Test error handling for invalid chunk format"""
+        stream_wrapper = self._create_stream_wrapper()
+        
+        # Test invalid chunk (not starting with "data:")
+        with pytest.raises(ValueError, match="Chunk does not start with 'data:'"):
+            stream_wrapper.chunk_creator("invalid chunk")
+
+    def test_cohere_streaming_non_json_chunk(self):
+        """Test error handling for non-JSON chunk"""
+        stream_wrapper = self._create_stream_wrapper()
+        
+        # Test non-JSON chunk
+        with pytest.raises(json.JSONDecodeError):
+            stream_wrapper.chunk_creator("data: invalid json")
+
+    def test_cohere_streaming_generic_chunk_fallback(self):
+        """Test fallback to generic chunk handling for non-Cohere chunks"""
+        stream_wrapper = self._create_stream_wrapper()
+        
+        # Test generic chunk (no apiFormat or different apiFormat)
+        generic_chunk = {
+            "apiFormat": "GEMINI",
+            "text": "Hello from Gemini"
+        }
+        chunk_data = f"data: {json.dumps(generic_chunk)}"
+        
+        # This should fall back to generic handling
+        result = stream_wrapper.chunk_creator(chunk_data)
+        # The exact structure depends on the generic handler implementation
+        assert hasattr(result, 'choices')
diff --git a/tests/test_litellm/llms/vertex_ai/vertex_gemma_models/test_vertex_gemma_transformation.py b/tests/test_litellm/llms/vertex_ai/vertex_gemma_models/test_vertex_gemma_transformation.py
index 1ff9009bb8..bfa8664737 100644
--- a/tests/test_litellm/llms/vertex_ai/vertex_gemma_models/test_vertex_gemma_transformation.py
+++ b/tests/test_litellm/llms/vertex_ai/vertex_gemma_models/test_vertex_gemma_transformation.py
@@ -111,10 +111,13 @@ class TestVertexGemmaCompletion:
             },
         }
         
-        # Mock the async HTTP handler
+        # Mock the async HTTP handler and Vertex authentication
         with patch(
             "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler"
-        ) as mock_http_handler:
+        ) as mock_http_handler, patch(
+            "litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini.VertexLLM._ensure_access_token",
+            return_value=("fake-access-token", "PROJECT_ID")
+        ):
             mock_response = Mock()
             mock_response.status_code = 200
             mock_response.json.return_value = mock_vertex_response
@@ -135,6 +138,7 @@ class TestVertexGemmaCompletion:
             assert call_args is not None, "HTTP handler was not called"
             
             request_data = call_args.kwargs["json"]
+            print("request body=", json.dumps(request_data, indent=4))
             request_url = call_args.kwargs["url"]
             
             # Validate exact URL matches what we sent
@@ -145,17 +149,17 @@ class TestVertexGemmaCompletion:
             assert "instances" in request_data
             assert len(request_data["instances"]) == 1
             
-            outer_instance = request_data["instances"][0]
-            assert outer_instance["@requestFormat"] == "chatCompletions"
+            instance = request_data["instances"][0]
+            assert instance["@requestFormat"] == "chatCompletions"
             
-            # The actual instance with messages is nested inside
-            assert "instances" in outer_instance
-            inner_instance = outer_instance["instances"][0]
-            assert inner_instance["@requestFormat"] == "chatCompletions"
-            assert "messages" in inner_instance
-            assert inner_instance["messages"][0]["role"] == "user"
-            assert inner_instance["messages"][0]["content"] == "What is machine learning?"
-            assert inner_instance["max_tokens"] == 100
+            # Messages should be directly in the instance, not double-nested
+            assert "messages" in instance
+            assert instance["messages"][0]["role"] == "user"
+            assert instance["messages"][0]["content"] == "What is machine learning?"
+            assert instance["max_tokens"] == 100
+            
+            # Verify stream parameter is NOT sent to Vertex (will be faked client-side)
+            assert "stream" not in instance
             
             # Validate LiteLLM Response (OpenAI format)
             assert response.id == "chatcmpl-aaa4288f-2b8e-4bc0-8b14-4e444decd2c4"
@@ -196,7 +200,10 @@ class TestVertexGemmaCompletion:
         
         with patch(
             "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler"
-        ) as mock_http_handler:
+        ) as mock_http_handler, patch(
+            "litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini.VertexLLM._ensure_access_token",
+            return_value=("fake-access-token", "test-project")
+        ):
             mock_response = Mock()
             mock_response.status_code = 200
             mock_response.json.return_value = invalid_response
@@ -215,3 +222,182 @@ class TestVertexGemmaCompletion:
             # Verify the error message contains the original error
             assert "missing 'predictions' field" in str(exc_info.value)
 
+    @pytest.mark.asyncio
+    async def test_acompletion_fake_streaming(self):
+        """
+        Test that streaming requests are faked properly for Vertex AI Gemma models.
+        
+        Verifies:
+        1. Request body does NOT include 'stream' parameter (model doesn't support it)
+        2. Response returns a MockResponseIterator that yields chunks
+        """
+        from litellm.llms.base_llm.base_model_iterator import MockResponseIterator
+
+        # Mock Vertex response
+        mock_vertex_response = {
+            "deployedModelId": "1207280419999999999",
+            "model": "projects/993702345710/locations/us-central1/models/gemma-3-12b-it-1222199011122",
+            "modelDisplayName": "gemma-3-12b-it-1222199011122",
+            "modelVersionId": "1",
+            "predictions": {
+                "choices": [
+                    {
+                        "finish_reason": "stop",
+                        "index": 0,
+                        "logprobs": None,
+                        "message": {
+                            "content": "Streaming test response",
+                            "reasoning_content": None,
+                            "role": "assistant",
+                            "tool_calls": [],
+                        },
+                        "stop_reason": None,
+                    }
+                ],
+                "created": 1759863903,
+                "id": "chatcmpl-test-stream",
+                "model": "google/gemma-3-12b-it",
+                "object": "chat.completion",
+                "prompt_logprobs": None,
+                "usage": {
+                    "completion_tokens": 3,
+                    "prompt_tokens": 10,
+                    "prompt_tokens_details": None,
+                    "total_tokens": 13,
+                },
+            },
+        }
+        
+        with patch(
+            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
+        ) as mock_get_client, patch(
+            "litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini.VertexLLM._ensure_access_token",
+            return_value=("fake-access-token", "PROJECT_ID")
+        ):
+            mock_client = Mock()
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = mock_vertex_response
+            mock_client.post = AsyncMock(return_value=mock_response)
+            mock_get_client.return_value = mock_client
+            
+            # Call litellm.acompletion() with stream=True
+            response = await litellm.acompletion(
+                model="vertex_ai/gemma/gemma-3-12b-it-1222199011122",
+                messages=[{"role": "user", "content": "Test streaming"}],
+                stream=True,
+                api_base="https://test.us-central1-project.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict",
+                vertex_project="PROJECT_ID",
+                vertex_location="us-central1",
+            )
+            
+            # Verify the response is a MockResponseIterator
+            assert isinstance(response, MockResponseIterator), f"Expected MockResponseIterator, got {type(response)}"
+            
+            # Verify the request sent to Vertex does NOT include 'stream'
+            call_args = mock_client.post.call_args
+            assert call_args is not None, "HTTP client was not called"
+            
+            request_data = call_args.kwargs["json"]
+            instance = request_data["instances"][0]
+            
+            # Critical: Verify stream parameter is NOT sent to Vertex API
+            assert "stream" not in instance, "stream parameter should not be sent to Vertex API"
+            
+            # Verify we can iterate the fake stream and get the response
+            chunks = []
+            async for chunk in response:
+                chunks.append(chunk)
+            
+            # Should get exactly one chunk (fake streaming)
+            assert len(chunks) == 1, f"Expected 1 chunk from fake stream, got {len(chunks)}"
+            
+            # Verify the chunk has the expected content
+            chunk = chunks[0]
+            assert hasattr(chunk, "choices")
+            assert len(chunk.choices) > 0
+            assert chunk.choices[0].delta.content == "Streaming test response"
+
+    @pytest.mark.asyncio
+    async def test_acompletion_filters_stream_and_stream_options(self):
+        """
+        Test that both stream and stream_options are filtered out from the request.
+        
+        Verifies that when stream=True and stream_options={'include_usage': True} are passed,
+        neither parameter is sent to the Vertex API since Vertex Gemma doesn't support them.
+        """
+        # Mock Vertex response
+        mock_vertex_response = {
+            "deployedModelId": "1207280419999999999",
+            "model": "projects/993702345710/locations/us-central1/models/gemma-3-12b-it-1222199011122",
+            "modelDisplayName": "gemma-3-12b-it-1222199011122",
+            "modelVersionId": "1",
+            "predictions": {
+                "choices": [
+                    {
+                        "finish_reason": "stop",
+                        "index": 0,
+                        "logprobs": None,
+                        "message": {
+                            "content": "Test response",
+                            "reasoning_content": None,
+                            "role": "assistant",
+                            "tool_calls": [],
+                        },
+                        "stop_reason": None,
+                    }
+                ],
+                "created": 1759863903,
+                "id": "chatcmpl-test",
+                "model": "google/gemma-3-12b-it",
+                "object": "chat.completion",
+                "prompt_logprobs": None,
+                "usage": {
+                    "completion_tokens": 2,
+                    "prompt_tokens": 10,
+                    "prompt_tokens_details": None,
+                    "total_tokens": 12,
+                },
+            },
+        }
+        
+        with patch(
+            "litellm.llms.custom_httpx.http_handler.get_async_httpx_client"
+        ) as mock_get_client, patch(
+            "litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini.VertexLLM._ensure_access_token",
+            return_value=("fake-access-token", "PROJECT_ID")
+        ):
+            mock_client = Mock()
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = mock_vertex_response
+            mock_client.post = AsyncMock(return_value=mock_response)
+            mock_get_client.return_value = mock_client
+            
+            # Call with both stream and stream_options
+            response = await litellm.acompletion(
+                model="vertex_ai/gemma/gemma-3-12b-it-1222199011122",
+                messages=[{"role": "user", "content": "Test"}],
+                stream=True,
+                stream_options={"include_usage": True},
+                api_base="https://test.us-central1-project.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict",
+                vertex_project="PROJECT_ID",
+                vertex_location="us-central1",
+            )
+            
+            # Verify the request sent to Vertex
+            call_args = mock_client.post.call_args
+            assert call_args is not None, "HTTP client was not called"
+            
+            request_data = call_args.kwargs["json"]
+            print("request body=", json.dumps(request_data, indent=4))
+            instance = request_data["instances"][0]
+            
+            # Critical: Verify both stream and stream_options are NOT sent to Vertex API
+            assert "stream" not in instance, "stream parameter should not be sent to Vertex API"
+            assert "stream_options" not in instance, "stream_options parameter should not be sent to Vertex API"
+            
+            # Verify other parameters are present
+            assert "messages" in instance
+            assert instance["@requestFormat"] == "chatCompletions"
+
diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py
index 9a50986a1b..7d4a406c99 100644
--- a/tests/test_litellm/proxy/auth/test_auth_checks.py
+++ b/tests/test_litellm/proxy/auth/test_auth_checks.py
@@ -26,9 +26,9 @@ from litellm.proxy._types import (
 from litellm.proxy.auth.auth_checks import (
     ExperimentalUIJWTToken,
     _can_object_call_vector_stores,
+    _get_team_db_check,
     get_user_object,
     vector_store_access_check,
-    _get_team_db_check,
 )
 from litellm.proxy.common_utils.encrypt_decrypt_utils import decrypt_value_helper
 from litellm.utils import get_utc_datetime
@@ -567,3 +567,141 @@ def test_can_object_call_model_no_access_to_alias_or_underlying():
     assert exc_info.value.type == ProxyErrorTypes.key_model_access_denied
     assert "key not allowed to access model" in str(exc_info.value.message)
     assert "my-fake-gpt" in str(exc_info.value.message)
+
+
+# Tag Budget Enforcement Tests
+
+
+@pytest.mark.asyncio
+async def test_get_tag_objects_batch():
+    """
+    Test batch fetching of tags validates:
+    - Cached tags are fetched from cache (no DB call for them)
+    - Uncached tags are fetched in ONE batch DB query
+    - After fetching, uncached tags are cached
+    """
+    from litellm.proxy._types import LiteLLM_TagTable
+    from litellm.proxy.auth.auth_checks import get_tag_objects_batch
+
+    mock_prisma = MagicMock()
+    mock_cache = MagicMock()
+    mock_proxy_logging = MagicMock()
+
+    # Simulate 5 tags: 2 cached, 3 uncached
+    tag_names = ["cached-1", "uncached-1", "cached-2", "uncached-2", "uncached-3"]
+
+    # Mock cached tags
+    cached_tag_1 = {
+        "tag_name": "cached-1",
+        "spend": 10.0,
+        "models": [],
+        "litellm_budget_table": None,
+    }
+    cached_tag_2 = {
+        "tag_name": "cached-2",
+        "spend": 20.0,
+        "models": [],
+        "litellm_budget_table": None,
+    }
+
+    # Mock DB response for uncached tags
+    uncached_tag_1 = MagicMock()
+    uncached_tag_1.tag_name = "uncached-1"
+    uncached_tag_1.spend = 30.0
+    uncached_tag_1.models = []
+    uncached_tag_1.litellm_budget_table = None
+    uncached_tag_1.dict = MagicMock(
+        return_value={
+            "tag_name": "uncached-1",
+            "spend": 30.0,
+            "models": [],
+            "litellm_budget_table": None,
+        }
+    )
+
+    uncached_tag_2 = MagicMock()
+    uncached_tag_2.tag_name = "uncached-2"
+    uncached_tag_2.spend = 40.0
+    uncached_tag_2.models = []
+    uncached_tag_2.litellm_budget_table = None
+    uncached_tag_2.dict = MagicMock(
+        return_value={
+            "tag_name": "uncached-2",
+            "spend": 40.0,
+            "models": [],
+            "litellm_budget_table": None,
+        }
+    )
+
+    uncached_tag_3 = MagicMock()
+    uncached_tag_3.tag_name = "uncached-3"
+    uncached_tag_3.spend = 50.0
+    uncached_tag_3.models = []
+    uncached_tag_3.litellm_budget_table = None
+    uncached_tag_3.dict = MagicMock(
+        return_value={
+            "tag_name": "uncached-3",
+            "spend": 50.0,
+            "models": [],
+            "litellm_budget_table": None,
+        }
+    )
+
+    # Mock cache behavior - return cached tags, None for uncached
+    async def mock_get_cache(key):
+        if key == "tag:cached-1":
+            return cached_tag_1
+        elif key == "tag:cached-2":
+            return cached_tag_2
+        else:
+            return None
+
+    mock_cache.async_get_cache = AsyncMock(side_effect=mock_get_cache)
+    mock_cache.async_set_cache = AsyncMock()
+
+    # Mock DB to return all uncached tags in ONE query
+    mock_prisma.db.litellm_tagtable.find_many = AsyncMock(
+        return_value=[uncached_tag_1, uncached_tag_2, uncached_tag_3]
+    )
+
+    # Call batch fetch
+    tag_objects = await get_tag_objects_batch(
+        tag_names=tag_names,
+        prisma_client=mock_prisma,
+        user_api_key_cache=mock_cache,
+        proxy_logging_obj=mock_proxy_logging,
+    )
+
+    # Verify results
+    assert len(tag_objects) == 5
+    assert "cached-1" in tag_objects
+    assert "cached-2" in tag_objects
+    assert "uncached-1" in tag_objects
+    assert "uncached-2" in tag_objects
+    assert "uncached-3" in tag_objects
+
+    # Verify cached tags have correct values
+    assert tag_objects["cached-1"].spend == 10.0
+    assert tag_objects["cached-2"].spend == 20.0
+
+    # Verify uncached tags have correct values
+    assert tag_objects["uncached-1"].spend == 30.0
+    assert tag_objects["uncached-2"].spend == 40.0
+    assert tag_objects["uncached-3"].spend == 50.0
+
+    # Verify DB was called ONCE with all 3 uncached tags
+    mock_prisma.db.litellm_tagtable.find_many.assert_called_once()
+    call_args = mock_prisma.db.litellm_tagtable.find_many.call_args
+    assert call_args.kwargs["where"]["tag_name"]["in"] == [
+        "uncached-1",
+        "uncached-2",
+        "uncached-3",
+    ]
+
+    # Verify uncached tags were cached after fetching
+    assert mock_cache.async_set_cache.call_count == 3
+    cache_calls = mock_cache.async_set_cache.call_args_list
+    cached_keys = [call.kwargs["key"] for call in cache_calls]
+    assert "tag:uncached-1" in cached_keys
+    assert "tag:uncached-2" in cached_keys
+    assert "tag:uncached-3" in cached_keys
diff --git a/tests/test_litellm/proxy/common_utils/test_http_parsing_utils.py b/tests/test_litellm/proxy/common_utils/test_http_parsing_utils.py
index 721bcfc377..cffed02113 100644
--- a/tests/test_litellm/proxy/common_utils/test_http_parsing_utils.py
+++ b/tests/test_litellm/proxy/common_utils/test_http_parsing_utils.py
@@ -14,13 +14,17 @@ sys.path.insert(
 
 
 import litellm
+from litellm.proxy._types import ProxyException
 from litellm.proxy.common_utils.http_parsing_utils import (
     _read_request_body,
+    _safe_get_request_headers,
     _safe_get_request_parsed_body,
+    _safe_get_request_query_params,
     _safe_set_request_parsed_body,
     get_form_data,
+    get_request_body,
+    get_tags_from_request_body,
 )
-from litellm.proxy._types import ProxyException
 
 
 @pytest.mark.asyncio
@@ -285,3 +289,96 @@ async def test_get_form_data():
     # Note: In a real MultiDict, both values would be present
     # But in our mock dictionary the second value overwrites the first
     assert "segment" in result["timestamp_granularities"]
+
+
+def test_get_tags_from_request_body_with_metadata_tags():
+    """
+    Test that tags are correctly extracted from request body metadata.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "metadata": {
+            "tags": ["tag1", "tag2", "tag3"]
+        }
+    }
+    
+    result = get_tags_from_request_body(request_body=request_body)
+    
+    assert result == ["tag1", "tag2", "tag3"]
+
+
+def test_get_tags_from_request_body_with_litellm_metadata_tags():
+    """
+    Test that tags are correctly extracted from request body when using litellm_metadata.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "litellm_metadata": {
+            "tags": ["tag1", "tag2", "tag3"]
+        }
+    }
+    
+    result = get_tags_from_request_body(request_body=request_body)
+    
+    assert result == ["tag1", "tag2", "tag3"]
+
+
+def test_get_tags_from_request_body_with_root_tags():
+    """
+    Test that tags are correctly extracted from root level of request body.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "tags": ["tag1", "tag2"]
+    }
+    
+    result = get_tags_from_request_body(request_body=request_body)
+    
+    assert result == ["tag1", "tag2"]
+
+
+def test_get_tags_from_request_body_with_combined_tags():
+    """
+    Test that tags from both metadata and root level are combined.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "metadata": {
+            "tags": ["tag1", "tag2"]
+        },
+        "tags": ["tag3", "tag4"]
+    }
+    
+    result = get_tags_from_request_body(request_body=request_body)
+    
+    assert result == ["tag1", "tag2", "tag3", "tag4"]
+
+
+def test_get_tags_from_request_body_filters_non_strings():
+    """
+    Test that non-string values in tags list are filtered out.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "metadata": {
+            "tags": ["tag1", 123, "tag2", None, "tag3", {"nested": "dict"}]
+        }
+    }
+    
+    result = get_tags_from_request_body(request_body=request_body)
+    
+    assert result == ["tag1", "tag2", "tag3"]
+
+
+def test_get_tags_from_request_body_no_tags():
+    """
+    Test that empty list is returned when no tags are present.
+    """
+    request_body = {
+        "model": "gpt-4",
+        "metadata": {}
+    }
+    
+    result = get_tags_from_request_body(request_body=request_body)
+    
+    assert result == []
diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
index dfa075cbfc..435b67e331 100644
--- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
+++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
@@ -135,3 +135,127 @@ async def test_update_daily_spend_with_null_entity_id():
     assert create_data["api_requests"] == 1
     assert create_data["successful_requests"] == 1
     assert create_data["failed_requests"] == 0
+
+
+# Tag Spend Tracking Tests
+
+
+@pytest.mark.asyncio
+async def test_update_tag_db_with_valid_tags():
+    """
+    Test that _update_tag_db correctly processes valid tags and adds them to the spend update queue.
+    """
+    from litellm.proxy._types import Litellm_EntityType, SpendUpdateQueueItem
+
+    writer = DBSpendUpdateWriter()
+    mock_prisma = MagicMock()
+    response_cost = 0.05
+    request_tags = '["prod-tag", "test-tag"]'
+
+    writer.spend_update_queue.add_update = AsyncMock()
+
+    await writer._update_tag_db(
+        response_cost=response_cost,
+        request_tags=request_tags,
+        prisma_client=mock_prisma,
+    )
+
+    assert writer.spend_update_queue.add_update.call_count == 2
+
+    first_call_args = writer.spend_update_queue.add_update.call_args_list[0][1]
+    assert first_call_args["update"]["entity_type"] == Litellm_EntityType.TAG
+    assert first_call_args["update"]["entity_id"] == "prod-tag"
+    assert first_call_args["update"]["response_cost"] == response_cost
+
+    second_call_args = writer.spend_update_queue.add_update.call_args_list[1][1]
+    assert second_call_args["update"]["entity_type"] == Litellm_EntityType.TAG
+    assert second_call_args["update"]["entity_id"] == "test-tag"
+    assert second_call_args["update"]["response_cost"] == response_cost
+
+
+@pytest.mark.asyncio
+async def test_update_tag_db_with_list_input():
+    """
+    Test that _update_tag_db correctly handles tags passed as a list instead of JSON string.
+    """
+    writer = DBSpendUpdateWriter()
+    mock_prisma = MagicMock()
+    response_cost = 0.1
+    request_tags = ["tag1", "tag2", "tag3"]
+
+    writer.spend_update_queue.add_update = AsyncMock()
+
+    await writer._update_tag_db(
+        response_cost=response_cost,
+        request_tags=request_tags,
+        prisma_client=mock_prisma,
+    )
+
+    assert writer.spend_update_queue.add_update.call_count == 3
+
+
+@pytest.mark.asyncio
+async def test_update_tag_db_with_no_tags():
+    """
+    Test that _update_tag_db handles None and empty tags gracefully.
+    """
+    writer = DBSpendUpdateWriter()
+    mock_prisma = MagicMock()
+    response_cost = 0.05
+
+    writer.spend_update_queue.add_update = AsyncMock()
+
+    await writer._update_tag_db(
+        response_cost=response_cost,
+        request_tags=None,
+        prisma_client=mock_prisma,
+    )
+    assert writer.spend_update_queue.add_update.call_count == 0
+
+    await writer._update_tag_db(
+        response_cost=response_cost,
+        request_tags=[],
+        prisma_client=mock_prisma,
+    )
+    assert writer.spend_update_queue.add_update.call_count == 0
+
+
+@pytest.mark.asyncio
+async def test_update_tag_db_with_invalid_json():
+    """
+    Test that _update_tag_db handles invalid JSON gracefully.
+    """
+    writer = DBSpendUpdateWriter()
+    mock_prisma = MagicMock()
+    response_cost = 0.05
+    request_tags = '{"invalid": json}'
+
+    writer.spend_update_queue.add_update = AsyncMock()
+
+    await writer._update_tag_db(
+        response_cost=response_cost,
+        request_tags=request_tags,
+        prisma_client=mock_prisma,
+    )
+
+    assert writer.spend_update_queue.add_update.call_count == 0
+
+
+@pytest.mark.asyncio
+async def test_update_tag_db_without_prisma_client():
+    """
+    Test that _update_tag_db returns early when prisma_client is None.
+    """
+    writer = DBSpendUpdateWriter()
+    response_cost = 0.05
+    request_tags = '["tag1"]'
+
+    writer.spend_update_queue.add_update = AsyncMock()
+
+    await writer._update_tag_db(
+        response_cost=response_cost,
+        request_tags=request_tags,
+        prisma_client=None,
+    )
+
+    assert writer.spend_update_queue.add_update.call_count == 0
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_enkryptai.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_enkryptai.py
index 625db83712..18db926c79 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_enkryptai.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_enkryptai.py
@@ -149,11 +149,12 @@ class TestEnkryptAIGuardrailHooks:
             )
 
             assert result == mock_request_data
-            mock_post.assert_called_once()
+            # Should be called twice - once for system message, once for user message
+            assert mock_post.call_count == 2
 
-            # Verify API call details
+            # Verify last API call details (for user message)
             call_args = mock_post.call_args
-            assert call_args[1]["url"].endswith("/guardrails/detect")
+            assert call_args[1]["url"].endswith("/guardrails/policy/detect")
             assert call_args[1]["headers"]["apikey"] == "test-api-key"
             assert call_args[1]["json"]["text"] == "Hello, how are you?"
 
@@ -174,7 +175,7 @@ class TestEnkryptAIGuardrailHooks:
         with patch.object(
             enkryptai_guardrail.async_handler, "post", return_value=mock_response
         ):
-            with pytest.raises(Exception) as exc_info:
+            with pytest.raises(ValueError) as exc_info:
                 await enkryptai_guardrail.async_pre_call_hook(
                     user_api_key_dict=mock_user_api_key_dict,
                     cache=MagicMock(),
@@ -182,7 +183,7 @@ class TestEnkryptAIGuardrailHooks:
                     call_type="completion",
                 )
 
-            assert exc_info.value.status_code == 400
+            assert "Guardrail failed" in str(exc_info.value)
 
     @pytest.mark.asyncio
     async def test_pre_call_hook_with_policy_header(
@@ -255,13 +256,13 @@ class TestEnkryptAIGuardrailHooks:
         with patch.object(
             enkryptai_guardrail.async_handler, "post", return_value=mock_api_response
         ) as mock_post:
-            result = await enkryptai_guardrail.async_post_call_success_hook(
+            # Method doesn't return anything, just verify it doesn't raise an exception
+            await enkryptai_guardrail.async_post_call_success_hook(
                 data=mock_request_data,
                 user_api_key_dict=mock_user_api_key_dict,
                 response=response,
             )
 
-            assert result == response
             mock_post.assert_called_once()
 
             # Verify API call details
@@ -347,94 +348,22 @@ class TestEnkryptAIGuardrailHooks:
 
             assert result == mock_request_data
 
-    def test_extract_user_message(self, enkryptai_guardrail):
-        """Test _extract_user_message helper method"""
-        data = {
-            "messages": [
-                {"role": "system", "content": "System prompt"},
-                {"role": "user", "content": "First user message"},
-                {"role": "assistant", "content": "Assistant response"},
-                {"role": "user", "content": "Second user message"},
-            ]
-        }
-
-        message = enkryptai_guardrail._extract_user_message(data)
-        assert message == "Second user message"
-
-        data = {"messages": [{"role": "system", "content": "System prompt"}]}
-        message = enkryptai_guardrail._extract_user_message(data)
-        assert message is None
-
-        data = {"messages": []}
-        message = enkryptai_guardrail._extract_user_message(data)
-        assert message is None
-
-        data = {}
-        message = enkryptai_guardrail._extract_user_message(data)
-        assert message is None
-
     def test_determine_guardrail_status(self, enkryptai_guardrail):
         """Test _determine_guardrail_status helper method"""
-        # Test success status
-        response_json = {"violations": [], "detected": False}
+        # Test success status (no attacks detected)
+        response_json = {"summary": {"nsfw": 0, "toxicity": []}}
         status = enkryptai_guardrail._determine_guardrail_status(response_json)
         assert status == "success"
 
-        # Test intervened status
-        response_json = {"violations": ["toxicity"], "detected": True}
+        # Test intervened status (attacks detected)
+        response_json = {"summary": {"toxicity": ["high"], "nsfw": 1}}
         status = enkryptai_guardrail._determine_guardrail_status(response_json)
         assert status == "guardrail_intervened"
 
-        # Test failed status
+        # Test failed status (invalid response)
         response_json = "invalid"
         status = enkryptai_guardrail._determine_guardrail_status(response_json)
         assert status == "guardrail_failed_to_respond"
 
 
-class TestEnkryptAIExtraction:
-    """Test content extraction methods"""
-
-    def test_extract_user_message_multipart(self):
-        """Test extracting user message with multipart content"""
-        guardrail = EnkryptAIGuardrails(api_key="test-key")
-
-        data = {
-            "messages": [
-                {
-                    "role": "user",
-                    "content": [
-                        {"type": "text", "text": "Hello"},
-                        {"type": "text", "text": "world"},
-                    ],
-                }
-            ]
-        }
-
-        message = guardrail._extract_user_message(data)
-        assert message == "Hello world"
-
-    def test_extract_response_content(self):
-        """Test extracting content from ModelResponse"""
-        guardrail = EnkryptAIGuardrails(api_key="test-key")
-
-        response = ModelResponse(
-            id="test-id",
-            choices=[
-                Choices(
-                    finish_reason="stop",
-                    index=0,
-                    message=Message(content="Test response", role="assistant"),
-                )
-            ],
-            created=1234567890,
-            model="gpt-3.5-turbo",
-            object="chat.completion",
-        )
-
-        content = guardrail._extract_response_content(response)
-        assert content == "Test response"
-
-        # Test with non-ModelResponse
-        content = guardrail._extract_response_content("invalid")
-        assert content is None
 
diff --git a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
index fcf2ac2453..74544cb882 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
@@ -1874,15 +1874,15 @@ async def test_generate_key_with_object_permission():
 
     # Patch the prisma_client and other dependencies
     with patch(
-        "litellm.proxy.management_endpoints.key_management_endpoints.prisma_client",
+        "litellm.proxy.proxy_server.prisma_client",
         mock_prisma_client,
     ), patch(
-        "litellm.proxy.management_endpoints.key_management_endpoints.llm_router", None
+        "litellm.proxy.proxy_server.llm_router", None
     ), patch(
-        "litellm.proxy.management_endpoints.key_management_endpoints.premium_user",
+        "litellm.proxy.proxy_server.premium_user",
         False,
     ), patch(
-        "litellm.proxy.management_endpoints.key_management_endpoints.litellm_proxy_admin_name",
+        "litellm.proxy.proxy_server.litellm_proxy_admin_name",
         "admin",
     ):
         # Execute
diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
index 215e0d050a..b62fd6f177 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py
@@ -483,6 +483,7 @@ class TestMCPHealthCheckEndpoints:
         mock_manager.health_check_server = AsyncMock(
             return_value={
                 "server_id": "test-server",
+                "server_name": "Test Server",
                 "status": "healthy",
                 "tools_count": 3,
                 "last_health_check": "2024-01-01T12:00:00",
@@ -519,6 +520,7 @@ class TestMCPHealthCheckEndpoints:
 
             # Verify results
             assert result["server_id"] == "test-server"
+            assert result["server_name"] == "Test Server"
             assert result["status"] == "healthy"
             assert result["tools_count"] == 3
             assert result["response_time_ms"] == 150.5
@@ -631,6 +633,7 @@ class TestMCPHealthCheckEndpoints:
             return_value={
                 "server1": {
                     "server_id": "server1",
+                    "server_name": "Test DB Server",
                     "status": "healthy",
                     "tools_count": 2,
                     "last_health_check": "2024-01-01T12:00:00",
@@ -639,6 +642,7 @@ class TestMCPHealthCheckEndpoints:
                 },
                 "server2": {
                     "server_id": "server2",
+                    "server_name": "Test DB Server",
                     "status": "unhealthy",
                     "last_health_check": "2024-01-01T12:00:00",
                     "response_time_ms": 5000.0,
@@ -684,8 +688,10 @@ class TestMCPHealthCheckEndpoints:
             # Check individual server results
             assert result["servers"]["server1"]["status"] == "healthy"
             assert result["servers"]["server1"]["tools_count"] == 2
+            assert result["servers"]["server1"]["server_name"] == "Test DB Server"
             assert result["servers"]["server2"]["status"] == "unhealthy"
             assert result["servers"]["server2"]["error"] == "Connection timeout"
+            assert result["servers"]["server2"]["server_name"] == "Test DB Server"
 
     @pytest.mark.asyncio
     async def test_fetch_all_mcp_servers_with_health_status(self):
diff --git a/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py
index 749ee4acd1..a62ed21941 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py
@@ -13,8 +13,8 @@ sys.path.insert(
 from unittest.mock import patch
 
 import litellm
+from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
 from litellm.proxy.proxy_server import app
-from litellm.proxy._types import UserAPIKeyAuth, LitellmUserRoles
 from litellm.types.tag_management import TagDeleteRequest, TagInfoRequest, TagNewRequest
 
 client = TestClient(app)
@@ -25,7 +25,9 @@ async def test_create_and_get_tag():
     """
     Test creation of a new tag and retrieving its information
     """
-    # Mock the user authentication
+    from datetime import datetime
+    from unittest.mock import AsyncMock, Mock
+
     from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
     
     mock_user_auth = UserAPIKeyAuth(
@@ -35,21 +37,38 @@ async def test_create_and_get_tag():
     app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth
     
     try:
-        # Mock the prisma client and _get_tags_config and _save_tags_config
         with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch(
             "litellm.proxy.proxy_server.llm_router"
         ) as mock_router, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._get_tags_config"
-        ) as mock_get_tags, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._save_tags_config"
-        ) as mock_save_tags, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._add_tag_to_deployment"
-        ) as mock_add_tag, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._get_model_names"
-        ) as mock_get_models:
-            # Setup mocks
-            mock_get_tags.return_value = {}
-            mock_get_models.return_value = {"model-1": "gpt-3.5-turbo"}
+            "litellm.proxy.proxy_server.litellm_proxy_admin_name", "default_user_id"
+        ), patch(
+            "litellm.proxy.management_endpoints.tag_management_endpoints.get_deployments_by_model"
+        ) as mock_get_deployments:
+            # Setup prisma mocks
+            mock_db = Mock()
+            mock_prisma.db = mock_db
+            
+            # Mock find_unique to return None (tag doesn't exist)
+            mock_db.litellm_tagtable.find_unique = AsyncMock(return_value=None)
+            
+            # Mock find_many for model lookup
+            mock_db.litellm_proxymodeltable.find_many = AsyncMock(return_value=[])
+            
+            # Mock create to return the created tag
+            created_tag = Mock()
+            created_tag.tag_name = "test-tag"
+            created_tag.description = "Test tag for unit testing"
+            created_tag.models = ["model-1"]
+            created_tag.model_info = {}
+            created_tag.spend = 0.0
+            created_tag.budget_id = None
+            created_tag.created_at = datetime.now()
+            created_tag.updated_at = datetime.now()
+            created_tag.created_by = "test-user-123"
+            mock_db.litellm_tagtable.create = AsyncMock(return_value=created_tag)
+            
+            # Mock get_deployments_by_model to return empty list
+            mock_get_deployments.return_value = []
 
             # Create a new tag
             tag_data = {
@@ -58,27 +77,29 @@ async def test_create_and_get_tag():
                 "models": ["model-1"],
             }
 
-            # Set admin access for the test
-            headers = {"Authorization": f"Bearer sk-1234"}
+            headers = {"Authorization": "Bearer sk-1234"}
 
             # Test tag creation
             response = client.post("/tag/new", json=tag_data, headers=headers)
-            print(f"response: {response.text}")
             assert response.status_code == 200
             result = response.json()
             assert result["message"] == "Tag test-tag created successfully"
             assert result["tag"]["name"] == "test-tag"
             assert result["tag"]["description"] == "Test tag for unit testing"
 
-            # Mock updated tag config for the get request
-            mock_get_tags.return_value = {
-                "test-tag": {
-                    "name": "test-tag",
-                    "description": "Test tag for unit testing",
-                    "models": ["model-1"],
-                    "model_info": {"model-1": "gpt-3.5-turbo"},
-                }
-            }
+            # Mock find_many for tag info retrieval
+            retrieved_tag = Mock()
+            retrieved_tag.tag_name = "test-tag"
+            retrieved_tag.description = "Test tag for unit testing"
+            retrieved_tag.models = ["model-1"]
+            retrieved_tag.model_info = "{}"
+            retrieved_tag.spend = 0.0
+            retrieved_tag.budget_id = None
+            retrieved_tag.created_at = datetime.now()
+            retrieved_tag.updated_at = datetime.now()
+            retrieved_tag.created_by = "test-user-123"
+            retrieved_tag.litellm_budget_table = None
+            mock_db.litellm_tagtable.find_many = AsyncMock(return_value=[retrieved_tag])
 
             # Test retrieving tag info
             info_data = {"names": ["test-tag"]}
@@ -97,7 +118,9 @@ async def test_update_tag():
     """
     Test updating an existing tag
     """
-    # Mock the user authentication
+    from datetime import datetime
+    from unittest.mock import AsyncMock, Mock
+
     from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
     
     mock_user_auth = UserAPIKeyAuth(
@@ -107,26 +130,41 @@ async def test_update_tag():
     app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth
     
     try:
-        # Mock the prisma client and _get_tags_config and _save_tags_config
         with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._get_tags_config"
-        ) as mock_get_tags, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._save_tags_config"
-        ) as mock_save_tags, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._get_model_names"
-        ) as mock_get_models:
-            # Setup mocks for existing tag
-            mock_get_tags.return_value = {
-            "test-tag": {
-                "name": "test-tag",
-                "description": "Original description",
-                "models": ["model-1"],
-                "created_at": "2023-01-01T00:00:00",
-                "updated_at": "2023-01-01T00:00:00",
-                "created_by": "user-123",
-            }
-            }
-            mock_get_models.return_value = {"model-1": "gpt-3.5-turbo", "model-2": "gpt-4"}
+            "litellm.proxy.proxy_server.litellm_proxy_admin_name", "default_user_id"
+        ):
+            # Setup prisma mocks
+            mock_db = Mock()
+            mock_prisma.db = mock_db
+            
+            # Mock existing tag
+            existing_tag = Mock()
+            existing_tag.tag_name = "test-tag"
+            existing_tag.description = "Original description"
+            existing_tag.models = ["model-1"]
+            existing_tag.budget_id = None
+            existing_tag.created_at = datetime.now()
+            existing_tag.updated_at = datetime.now()
+            existing_tag.created_by = "user-123"
+            
+            # Mock find_unique to return existing tag
+            mock_db.litellm_tagtable.find_unique = AsyncMock(return_value=existing_tag)
+            
+            # Mock find_many for model lookup
+            mock_db.litellm_proxymodeltable.find_many = AsyncMock(return_value=[])
+            
+            # Mock update to return updated tag
+            updated_tag = Mock()
+            updated_tag.tag_name = "test-tag"
+            updated_tag.description = "Updated description"
+            updated_tag.models = ["model-1", "model-2"]
+            updated_tag.model_info = {}
+            updated_tag.spend = 0.0
+            updated_tag.budget_id = None
+            updated_tag.created_at = datetime.now()
+            updated_tag.updated_at = datetime.now()
+            updated_tag.created_by = "user-123"
+            mock_db.litellm_tagtable.update = AsyncMock(return_value=updated_tag)
 
             # Update tag data
             update_data = {
@@ -135,8 +173,7 @@ async def test_update_tag():
                 "models": ["model-1", "model-2"],
             }
 
-            # Set admin access for the test
-            headers = {"Authorization": f"Bearer sk-1234"}
+            headers = {"Authorization": "Bearer sk-1234"}
 
             # Test tag update
             response = client.post("/tag/update", json=update_data, headers=headers)
@@ -156,7 +193,9 @@ async def test_delete_tag():
     """
     Test deleting a tag
     """
-    # Mock the user authentication
+    from datetime import datetime
+    from unittest.mock import AsyncMock, Mock
+
     from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
     
     mock_user_auth = UserAPIKeyAuth(
@@ -166,29 +205,30 @@ async def test_delete_tag():
     app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth
     
     try:
-        # Mock the prisma client and _get_tags_config and _save_tags_config
-        with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._get_tags_config"
-        ) as mock_get_tags, patch(
-            "litellm.proxy.management_endpoints.tag_management_endpoints._save_tags_config"
-        ) as mock_save_tags:
-            # Setup mocks for existing tag
-            mock_get_tags.return_value = {
-            "test-tag": {
-                "name": "test-tag",
-                "description": "Test tag for deletion",
-                "models": ["model-1"],
-                "created_at": "2023-01-01T00:00:00",
-                "updated_at": "2023-01-01T00:00:00",
-                "created_by": "user-123",
-            }
-            }
+        with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma:
+            # Setup prisma mocks
+            mock_db = Mock()
+            mock_prisma.db = mock_db
+            
+            # Mock existing tag
+            existing_tag = Mock()
+            existing_tag.tag_name = "test-tag"
+            existing_tag.description = "Test tag for deletion"
+            existing_tag.models = ["model-1"]
+            existing_tag.created_at = datetime.now()
+            existing_tag.updated_at = datetime.now()
+            existing_tag.created_by = "user-123"
+            
+            # Mock find_unique to return existing tag
+            mock_db.litellm_tagtable.find_unique = AsyncMock(return_value=existing_tag)
+            
+            # Mock delete
+            mock_db.litellm_tagtable.delete = AsyncMock(return_value=existing_tag)
 
             # Delete tag data
             delete_data = {"name": "test-tag"}
 
-            # Set admin access for the test
-            headers = {"Authorization": f"Bearer sk-1234"}
+            headers = {"Authorization": "Bearer sk-1234"}
 
             # Test tag deletion
             response = client.post("/tag/delete", json=delete_data, headers=headers)
@@ -196,8 +236,8 @@ async def test_delete_tag():
             result = response.json()
             assert result["message"] == "Tag test-tag deleted successfully"
 
-            # Verify _save_tags_config was called without the deleted tag
-            mock_save_tags.assert_called_once()
+            # Verify delete was called
+            mock_db.litellm_tagtable.delete.assert_called_once()
     finally:
         # Clean up dependency overrides
         app.dependency_overrides.clear()
diff --git a/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py b/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py
index bfd5358dba..941517db12 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py
@@ -2,7 +2,6 @@ import asyncio
 import json
 import os
 import sys
-from litellm._uuid import uuid
 from typing import Optional, cast
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -10,6 +9,8 @@ import pytest
 from fastapi import Request
 from fastapi.testclient import TestClient
 
+from litellm._uuid import uuid
+
 sys.path.insert(
     0, os.path.abspath("../../../")
 )  # Adds the parent directory to the system path
@@ -46,7 +47,7 @@ def test_microsoft_sso_handler_openid_from_response_user_principal_name():
     # Act
     # Call the method being tested
     result = MicrosoftSSOHandler.openid_from_response(
-        response=mock_response, team_ids=expected_team_ids
+        response=mock_response, team_ids=expected_team_ids, user_role=None
     )
 
     # Assert
@@ -77,7 +78,7 @@ def test_microsoft_sso_handler_openid_from_response():
     # Act
     # Call the method being tested
     result = MicrosoftSSOHandler.openid_from_response(
-        response=mock_response, team_ids=expected_team_ids
+        response=mock_response, team_ids=expected_team_ids, user_role=None
     )
 
     # Assert
@@ -98,7 +99,7 @@ def test_microsoft_sso_handler_with_empty_response():
     # Test with None response
 
     # Act
-    result = MicrosoftSSOHandler.openid_from_response(response=None, team_ids=[])
+    result = MicrosoftSSOHandler.openid_from_response(response=None, team_ids=[], user_role=None)
 
     # Assert
     assert isinstance(result, CustomOpenID)
diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py
index 21930d116d..5af7ac5f3a 100644
--- a/tests/test_litellm/proxy/test_proxy_server.py
+++ b/tests/test_litellm/proxy/test_proxy_server.py
@@ -2184,3 +2184,107 @@ def test_should_load_db_object_with_supported_db_objects():
         )
         assert proxy_config._should_load_db_object(object_type="prompts") is True
         assert proxy_config._should_load_db_object(object_type="model_cost_map") is True
+
+
+@pytest.mark.asyncio
+async def test_tag_cache_update_called():
+    """
+    Test that update_cache updates tag cache when tags are provided.
+    """
+    from litellm.caching.caching import DualCache
+    from litellm.proxy.proxy_server import user_api_key_cache
+
+    cache = DualCache()
+
+    setattr(
+        litellm.proxy.proxy_server,
+        "user_api_key_cache",
+        cache,
+    )
+
+    mock_tag_obj = {
+        "tag_name": "test-tag",
+        "spend": 10.0,
+    }
+
+    with patch.object(cache, "async_get_cache", new=AsyncMock(return_value=mock_tag_obj)) as mock_get_cache:
+        with patch.object(cache, "async_set_cache_pipeline", new=AsyncMock()) as mock_set_cache:
+            await litellm.proxy.proxy_server.update_cache(
+                token=None,
+                user_id=None,
+                end_user_id=None,
+                team_id=None,
+                response_cost=5.0,
+                parent_otel_span=None,
+                tags=["test-tag"],
+            )
+
+            await asyncio.sleep(0.1)
+
+            mock_get_cache.assert_awaited_once_with(key="tag:test-tag")
+            mock_set_cache.assert_awaited_once()
+
+            call_args = mock_set_cache.call_args
+            cache_list = call_args.kwargs["cache_list"]
+
+            assert len(cache_list) == 1
+            cache_key, cache_value = cache_list[0]
+            assert cache_key == "tag:test-tag"
+            assert cache_value["spend"] == 15.0
+
+
+@pytest.mark.asyncio
+async def test_tag_cache_update_multiple_tags():
+    """
+    Test that multiple tags are updated in cache.
+    """
+    from litellm.caching.caching import DualCache
+    from litellm.proxy.proxy_server import user_api_key_cache
+
+    cache = DualCache()
+
+    setattr(
+        litellm.proxy.proxy_server,
+        "user_api_key_cache",
+        cache,
+    )
+
+    mock_tag1_obj = {"tag_name": "tag1", "spend": 10.0}
+    mock_tag2_obj = {"tag_name": "tag2", "spend": 20.0}
+
+    async def mock_get_cache_side_effect(key):
+        if key == "tag:tag1":
+            return mock_tag1_obj
+        elif key == "tag:tag2":
+            return mock_tag2_obj
+        return None
+
+    with patch.object(cache, "async_get_cache", new=AsyncMock(side_effect=mock_get_cache_side_effect)) as mock_get_cache:
+        with patch.object(cache, "async_set_cache_pipeline", new=AsyncMock()) as mock_set_cache:
+            await litellm.proxy.proxy_server.update_cache(
+                token=None,
+                user_id=None,
+                end_user_id=None,
+                team_id=None,
+                response_cost=5.0,
+                parent_otel_span=None,
+                tags=["tag1", "tag2"],
+            )
+
+            await asyncio.sleep(0.1)
+
+            assert mock_get_cache.call_count == 2
+            mock_set_cache.assert_awaited_once()
+
+            call_args = mock_set_cache.call_args
+            cache_list = call_args.kwargs["cache_list"]
+
+            assert len(cache_list) == 2
+
+            tag_updates = {cache_key: cache_value for cache_key, cache_value in cache_list}
+            assert "tag:tag1" in tag_updates
+            assert "tag:tag2" in tag_updates
+            assert tag_updates["tag:tag1"]["spend"] == 15.0
+            assert tag_updates["tag:tag2"]["spend"] == 25.0
+
+
diff --git a/tests/test_litellm/test_aembedding_session_reuse_e2e.py b/tests/test_litellm/test_aembedding_session_reuse_e2e.py
new file mode 100644
index 0000000000..05cfb13bbf
--- /dev/null
+++ b/tests/test_litellm/test_aembedding_session_reuse_e2e.py
@@ -0,0 +1,61 @@
+"""
+Regression test for commit 819a6b5f18
+
+Ensures shared_session is in all_litellm_params to prevent
+"Object of type ClientSession is not JSON serializable" errors.
+"""
+import os
+import sys
+import inspect
+
+sys.path.insert(0, os.path.abspath("../../.."))
+
+from litellm.types.utils import all_litellm_params
+
+
+def test_shared_session_in_all_litellm_params():
+    """
+    CRITICAL: shared_session must be in all_litellm_params.
+    
+    If missing, it gets passed to provider APIs causing JSON serialization errors.
+    Regression test for commit 819a6b5f18.
+    """
+    assert "shared_session" in all_litellm_params
+
+
+def test_openai_embedding_passes_shared_session():
+    """
+    Verify shared_session flows through the complete call chain.
+    
+    Full chain: litellm.embedding() -> OpenAI.embedding() -> _get_openai_client() 
+                -> AsyncHTTPHandler -> _create_async_transport() -> _create_aiohttp_transport()
+    """
+    import litellm
+    from litellm.llms.openai.openai import OpenAIChatCompletion
+    from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+    
+    # Step 1: litellm.embedding() extracts and passes shared_session
+    main_source = inspect.getsource(litellm.embedding)
+    assert 'shared_session' in main_source
+    
+    # Step 2: OpenAI handlers pass it forward
+    aembedding_source = inspect.getsource(OpenAIChatCompletion.aembedding)
+    embedding_source = inspect.getsource(OpenAIChatCompletion.embedding)
+    assert 'shared_session=shared_session' in aembedding_source
+    assert 'shared_session=shared_session' in embedding_source
+    
+    # Step 3: _get_openai_client passes it to AsyncHTTPHandler
+    client_source = inspect.getsource(OpenAIChatCompletion._get_openai_client)
+    assert 'shared_session' in client_source
+    
+    # Step 4: AsyncHTTPHandler.create_client passes it to _create_async_transport
+    create_client_source = inspect.getsource(AsyncHTTPHandler.create_client)
+    assert 'shared_session=shared_session' in create_client_source
+    
+    # Step 5: _create_async_transport passes it to _create_aiohttp_transport
+    async_transport_source = inspect.getsource(AsyncHTTPHandler._create_async_transport)
+    assert 'shared_session=shared_session' in async_transport_source
+    
+    # Step 6: _create_aiohttp_transport uses it
+    aiohttp_transport_source = inspect.getsource(AsyncHTTPHandler._create_aiohttp_transport)
+    assert 'shared_session' in aiohttp_transport_source
diff --git a/tests/test_litellm/test_redis.py b/tests/test_litellm/test_redis.py
index 991126c2fe..3ea1811549 100644
--- a/tests/test_litellm/test_redis.py
+++ b/tests/test_litellm/test_redis.py
@@ -18,6 +18,10 @@ def test_get_redis_url_from_environment_host_port(monkeypatch):
     # Set the environment variables
     monkeypatch.setenv("REDIS_HOST", "redis-server")
     monkeypatch.setenv("REDIS_PORT", "6379")
+    # Ensure authentication variables are not set
+    monkeypatch.delenv("REDIS_USERNAME", raising=False)
+    monkeypatch.delenv("REDIS_PASSWORD", raising=False)
+    monkeypatch.delenv("REDIS_SSL", raising=False)
 
     # Call the function to get the Redis URL
     redis_url = get_redis_url_from_environment()
@@ -31,6 +35,9 @@ def test_get_redis_url_from_environment_with_ssl(monkeypatch):
     monkeypatch.setenv("REDIS_HOST", "redis-server")
     monkeypatch.setenv("REDIS_PORT", "6379")
     monkeypatch.setenv("REDIS_SSL", "true")
+    # Ensure authentication variables are not set
+    monkeypatch.delenv("REDIS_USERNAME", raising=False)
+    monkeypatch.delenv("REDIS_PASSWORD", raising=False)
 
     # Call the function to get the Redis URL
     redis_url = get_redis_url_from_environment()
@@ -58,6 +65,9 @@ def test_get_redis_url_from_environment_with_password_only(monkeypatch):
     monkeypatch.setenv("REDIS_HOST", "redis-server")
     monkeypatch.setenv("REDIS_PORT", "6379")
     monkeypatch.setenv("REDIS_PASSWORD", "password")
+    # Ensure username is not set
+    monkeypatch.delenv("REDIS_USERNAME", raising=False)
+    monkeypatch.delenv("REDIS_SSL", raising=False)
 
     # Call the function to get the Redis URL
     redis_url = get_redis_url_from_environment()
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 6e20e95606..6903b70ee7 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -513,6 +513,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "cache_read_input_token_cost": {"type": "number"},
                 "cache_read_input_token_cost_above_200k_tokens": {"type": "number"},
                 "cache_read_input_audio_token_cost": {"type": "number"},
+                "cache_read_input_image_token_cost": {"type": "number"},
                 "deprecation_date": {"type": "string"},
                 "input_cost_per_audio_per_second": {"type": "number"},
                 "input_cost_per_audio_per_second_above_128k_tokens": {"type": "number"},
@@ -521,6 +522,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "input_cost_per_character_above_128k_tokens": {"type": "number"},
                 "input_cost_per_image": {"type": "number"},
                 "input_cost_per_image_above_128k_tokens": {"type": "number"},
+                "input_cost_per_image_token": {"type": "number"},
                 "input_cost_per_token_above_200k_tokens": {"type": "number"},
                 "cache_read_input_token_cost_flex": {"type": "number"},
                 "cache_read_input_token_cost_priority": {"type": "number"},
@@ -577,6 +579,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "output_cost_per_character": {"type": "number"},
                 "output_cost_per_character_above_128k_tokens": {"type": "number"},
                 "output_cost_per_image": {"type": "number"},
+                "output_cost_per_image_token": {"type": "number"},
                 "output_cost_per_pixel": {"type": "number"},
                 "output_cost_per_second": {"type": "number"},
                 "output_cost_per_token": {"type": "number"},
diff --git a/ui/litellm-dashboard/.eslintrc.json b/ui/litellm-dashboard/.eslintrc.json
index bffb357a71..90edda434c 100644
--- a/ui/litellm-dashboard/.eslintrc.json
+++ b/ui/litellm-dashboard/.eslintrc.json
@@ -1,3 +1,17 @@
 {
-  "extends": "next/core-web-vitals"
+  "extends": ["next/core-web-vitals", "eslint:recommended", "plugin:@typescript-eslint/recommended", "prettier"],
+  "plugins": ["unused-imports"],
+  "rules": {
+    "unused-imports/no-unused-imports": "error",
+    "@typescript-eslint/no-explicit-any": "off",
+    "@typescript-eslint/no-unused-vars": "off",
+    "@typescript-eslint/no-unused-expressions": "off",
+    "@typescript-eslint/ban-ts-comment": "off",
+    "prefer-const": "off",
+    "no-empty": "off",
+    "no-prototype-builtins": "off",
+    "no-useless-catch": "off",
+    "no-useless-escape": "off",
+    "no-self-assign": "off"
+  }
 }
diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json
index b4aa6fc6b7..a28a2eb344 100644
--- a/ui/litellm-dashboard/package-lock.json
+++ b/ui/litellm-dashboard/package-lock.json
@@ -33,7 +33,7 @@
         "react-copy-to-clipboard": "^5.1.0",
         "react-dom": "^18",
         "react-markdown": "^9.0.1",
-        "react-syntax-highlighter": "^15.6.1",
+        "react-syntax-highlighter": "^15.6.6",
         "tailwind-merge": "^3.2.0",
         "uuid": "^11.1.0"
       },
@@ -56,6 +56,8 @@
         "autoprefixer": "^10.4.17",
         "eslint": "^8",
         "eslint-config-next": "14.2.32",
+        "eslint-config-prettier": "^10.1.8",
+        "eslint-plugin-unused-imports": "^4.2.0",
         "jsdom": "^27.0.0",
         "postcss": "^8.4.33",
         "prettier": "3.2.5",
@@ -10460,6 +10462,21 @@
         }
       }
     },
+    "node_modules/eslint-config-prettier": {
+      "version": "10.1.8",
+      "resolved": "https://registry.npmjs.org/eslint-config-prettier/-/eslint-config-prettier-10.1.8.tgz",
+      "integrity": "sha512-82GZUjRS0p/jganf6q1rEO25VSoHH0hKPCTrgillPjdI/3bgBhAE1QzHrHTizjpRvy6pGAvKjDJtk2pF9NDq8w==",
+      "dev": true,
+      "bin": {
+        "eslint-config-prettier": "bin/cli.js"
+      },
+      "funding": {
+        "url": "https://opencollective.com/eslint-config-prettier"
+      },
+      "peerDependencies": {
+        "eslint": ">=7.0.0"
+      }
+    },
     "node_modules/eslint-import-resolver-node": {
       "version": "0.3.9",
       "resolved": "https://registry.npmjs.org/eslint-import-resolver-node/-/eslint-import-resolver-node-0.3.9.tgz",
@@ -10702,6 +10719,21 @@
         "semver": "bin/semver.js"
       }
     },
+    "node_modules/eslint-plugin-unused-imports": {
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/eslint-plugin-unused-imports/-/eslint-plugin-unused-imports-4.2.0.tgz",
+      "integrity": "sha512-hLbJ2/wnjKq4kGA9AUaExVFIbNzyxYdVo49QZmKCnhk5pc9wcYRbfgLHvWJ8tnsdcseGhoUAddm9gn/lt+d74w==",
+      "dev": true,
+      "peerDependencies": {
+        "@typescript-eslint/eslint-plugin": "^8.0.0-0 || ^7.0.0 || ^6.0.0 || ^5.0.0",
+        "eslint": "^9.0.0 || ^8.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@typescript-eslint/eslint-plugin": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/eslint-scope": {
       "version": "7.2.2",
       "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-7.2.2.tgz",
@@ -19065,15 +19097,15 @@
       }
     },
     "node_modules/react-syntax-highlighter": {
-      "version": "15.6.1",
-      "resolved": "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.6.1.tgz",
-      "integrity": "sha512-OqJ2/vL7lEeV5zTJyG7kmARppUjiB9h9udl4qHQjjgEos66z00Ia0OckwYfRxCSFrW8RJIBnsBwQsHZbVPspqg==",
+      "version": "15.6.6",
+      "resolved": "https://registry.npmjs.org/react-syntax-highlighter/-/react-syntax-highlighter-15.6.6.tgz",
+      "integrity": "sha512-DgXrc+AZF47+HvAPEmn7Ua/1p10jNoVZVI/LoPiYdtY+OM+/nG5yefLHKJwdKqY1adMuHFbeyBaG9j64ML7vTw==",
       "dependencies": {
         "@babel/runtime": "^7.3.1",
         "highlight.js": "^10.4.1",
         "highlightjs-vue": "^1.0.0",
         "lowlight": "^1.17.0",
-        "prismjs": "^1.27.0",
+        "prismjs": "^1.30.0",
         "refractor": "^3.6.0"
       },
       "peerDependencies": {
diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json
index 96c6b91ed0..4746b89354 100644
--- a/ui/litellm-dashboard/package.json
+++ b/ui/litellm-dashboard/package.json
@@ -38,7 +38,7 @@
     "react-copy-to-clipboard": "^5.1.0",
     "react-dom": "^18",
     "react-markdown": "^9.0.1",
-    "react-syntax-highlighter": "^15.6.1",
+    "react-syntax-highlighter": "^15.6.6",
     "tailwind-merge": "^3.2.0",
     "uuid": "^11.1.0"
   },
@@ -61,6 +61,8 @@
     "autoprefixer": "^10.4.17",
     "eslint": "^8",
     "eslint-config-next": "14.2.32",
+    "eslint-config-prettier": "^10.1.8",
+    "eslint-plugin-unused-imports": "^4.2.0",
     "jsdom": "^27.0.0",
     "postcss": "^8.4.33",
     "prettier": "3.2.5",
diff --git a/ui/litellm-dashboard/public/assets/logos/aim_security.jpeg b/ui/litellm-dashboard/public/assets/logos/aim_security.jpeg
new file mode 100644
index 0000000000..60fc2a9295
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/aim_security.jpeg differ
diff --git a/ui/litellm-dashboard/public/assets/logos/aporia.png b/ui/litellm-dashboard/public/assets/logos/aporia.png
new file mode 100644
index 0000000000..34bc176791
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/aporia.png differ
diff --git a/ui/litellm-dashboard/public/assets/logos/enkrypt_ai.avif b/ui/litellm-dashboard/public/assets/logos/enkrypt_ai.avif
new file mode 100644
index 0000000000..a6228afb5c
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/enkrypt_ai.avif differ
diff --git a/ui/litellm-dashboard/public/assets/logos/guardrails_ai.jpeg b/ui/litellm-dashboard/public/assets/logos/guardrails_ai.jpeg
new file mode 100644
index 0000000000..b0935b74b9
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/guardrails_ai.jpeg differ
diff --git a/ui/litellm-dashboard/public/assets/logos/javelin.png b/ui/litellm-dashboard/public/assets/logos/javelin.png
new file mode 100644
index 0000000000..1a3fe31b58
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/javelin.png differ
diff --git a/ui/litellm-dashboard/public/assets/logos/lasso.png b/ui/litellm-dashboard/public/assets/logos/lasso.png
new file mode 100644
index 0000000000..f4ffcb5f28
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/lasso.png differ
diff --git a/ui/litellm-dashboard/public/assets/logos/noma_security.png b/ui/litellm-dashboard/public/assets/logos/noma_security.png
new file mode 100644
index 0000000000..8a332586d4
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/noma_security.png differ
diff --git a/ui/litellm-dashboard/public/assets/logos/palo_alto_networks.jpeg b/ui/litellm-dashboard/public/assets/logos/palo_alto_networks.jpeg
new file mode 100644
index 0000000000..dc3cb66c6e
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/palo_alto_networks.jpeg differ
diff --git a/ui/litellm-dashboard/public/assets/logos/pangea.png b/ui/litellm-dashboard/public/assets/logos/pangea.png
new file mode 100644
index 0000000000..fb815530fe
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/pangea.png differ
diff --git a/ui/litellm-dashboard/public/assets/logos/pillar.jpeg b/ui/litellm-dashboard/public/assets/logos/pillar.jpeg
new file mode 100644
index 0000000000..084e859976
Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/pillar.jpeg differ
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/README.md b/ui/litellm-dashboard/src/app/(dashboard)/README.md
new file mode 100644
index 0000000000..c913431fc5
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/README.md
@@ -0,0 +1,53 @@
+# Contributing to the LiteLLM UI
+
+The LiteLLM UI is currently being refactored/rewritten to reduce development friction. Please read this document to understand what's expected for new contributions.
+
+The project follows strict NextJS file structure. All pages on the site (determined by the sidebar) are contained in their own folder, and routing is automatically handled by NextJS based on the file structure. 
+
+For example, NextJS will automatically render the admin settings page when the user visits `/settings/admin-settings`
+
+```
+.
+├── settings
+    ├── admin-settings
+        └── page.tsx
+```
+
+You can use parenthesis around directory names to hide them from the user route, for example `(dashboard)`, while still getting the benefits of `layout` and file structure.
+
+### File Structure
+Every page must follow the following file structure pattern.
+```
+├── teams
+│   ├── TeamsView.tsx
+│   ├── components
+│   │   ├── TeamsFilters.tsx
+│   │   ├── TeamsHeaderTabs.tsx
+│   │   ├── TeamsTable
+│   │   │   ├── ModelsCell.tsx
+│   │   │   └── TeamsTable.tsx
+│   │   └── modals
+│   │       ├── CreateTeamModal.tsx
+│   │       └── DeleteTeamModal.tsx
+│   ├── hooks
+│   │   └── useFetchTeams.ts
+│   └── page.tsx
+```
+
+### Component  Files
+
+All component files should ideally be as dumb as possible. Their only job should be to take the data they need from hooks or props and render them to the UI. If a component file becomes too large (over `300` lines or so), **please break it down** into smaller components.
+
+A component should only be placed where it will be used. For example, if a component will only be used by the `teams` page, it should belong in the `teams/components` folder. 
+
+**Common components should be moved to the lowest common ancestor components folder.**
+
+### Hooks
+
+All hooks should be pure `.ts` files in a dedicated `hooks` folder unless they serve as context managers.
+
+**Common hooks should be moved to the lowest common ancestor hooks folder.**
+
+### Utils
+
+Any pure `.ts` functions that you need in order to process data should be placed in a local `utils.ts` file.
diff --git a/ui/litellm-dashboard/src/components/api_ref.tsx b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/APIReferenceView.tsx
similarity index 66%
rename from ui/litellm-dashboard/src/components/api_ref.tsx
rename to ui/litellm-dashboard/src/app/(dashboard)/api-reference/APIReferenceView.tsx
index 81baccc4cb..ba2596b92c 100644
--- a/ui/litellm-dashboard/src/components/api_ref.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/APIReferenceView.tsx
@@ -1,53 +1,32 @@
 "use client";
-import React, { useEffect, useState } from "react";
-import {
-  Badge,
-  Card,
-  Table,
-  Metric,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeaderCell,
-  TableRow,
-  Text,
-  Title,
-  Icon,
-  Accordion,
-  AccordionBody,
-  AccordionHeader,
-  List,
-  ListItem,
-  Tab,
-  TabGroup,
-  TabList,
-  TabPanel,
-  TabPanels,
-  Grid,
-} from "@tremor/react";
-import { Statistic } from "antd";
-import { modelAvailableCall } from "./networking";
-import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
+import React from "react";
+import { Text, Tab, TabGroup, TabList, TabPanel, TabPanels, Grid } from "@tremor/react";
+import CodeBlock from "./components/CodeBlock";
+import DocLink from "@/app/(dashboard)/api-reference/components/DocLink";
 
 interface ApiRefProps {
   proxySettings: any;
 }
 
-const APIRef: React.FC<ApiRefProps> = ({ proxySettings }) => {
+const APIReferenceView: React.FC<ApiRefProps> = ({ proxySettings }) => {
   let base_url = "<your_proxy_base_url>";
 
-  if (proxySettings) {
-    if (proxySettings.PROXY_BASE_URL && proxySettings.PROXY_BASE_URL !== undefined) {
-      base_url = proxySettings.PROXY_BASE_URL;
-    }
+  if (proxySettings?.PROXY_BASE_URL !== undefined && proxySettings?.PROXY_BASE_URL) {
+    base_url = proxySettings.PROXY_BASE_URL;
   }
+
   return (
     <>
       <Grid className="gap-2 p-8 h-[80vh] w-full mt-2">
         <div className="mb-5">
-          <p className="text-2xl text-tremor-content-strong dark:text-dark-tremor-content-strong font-semibold">
-            OpenAI Compatible Proxy: API Reference
-          </p>
+          {/* Header row with Docs link on the right */}
+          <div className="flex items-center justify-between">
+            <p className="text-2xl text-tremor-content-strong dark:text-dark-tremor-content-strong font-semibold">
+              OpenAI Compatible Proxy: API Reference
+            </p>
+            <DocLink className="ml-3 shrink-0" href="https://docs.litellm.ai/docs/proxy/user_keys" />
+          </div>
+
           <Text className="mt-2 mb-2">
             LiteLLM is OpenAI Compatible. This means your API Key works with the OpenAI SDK. Just replace the base_url
             to point to your litellm proxy. Example Below{" "}
@@ -61,9 +40,9 @@ const APIRef: React.FC<ApiRefProps> = ({ proxySettings }) => {
             </TabList>
             <TabPanels>
               <TabPanel>
-                <SyntaxHighlighter language="python">
-                  {`
-import openai
+                <CodeBlock
+                  language="python"
+                  code={`import openai
 client = openai.OpenAI(
     api_key="your_api_key",
     base_url="${base_url}" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys
@@ -79,14 +58,14 @@ response = client.chat.completions.create(
     ]
 )
 
-print(response)
-            `}
-                </SyntaxHighlighter>
+print(response)`}
+                />
               </TabPanel>
+
               <TabPanel>
-                <SyntaxHighlighter language="python">
-                  {`
-import os, dotenv
+                <CodeBlock
+                  language="python"
+                  code={`import os, dotenv
 
 from llama_index.llms import AzureOpenAI
 from llama_index.embeddings import AzureOpenAIEmbedding
@@ -107,22 +86,20 @@ embed_model = AzureOpenAIEmbedding(
     api_version="2023-07-01-preview",
 )
 
-
 documents = SimpleDirectoryReader("llama_index_data").load_data()
 service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
 index = VectorStoreIndex.from_documents(documents, service_context=service_context)
 
 query_engine = index.as_query_engine()
 response = query_engine.query("What did the author do growing up?")
-print(response)
-
-            `}
-                </SyntaxHighlighter>
+print(response)`}
+                />
               </TabPanel>
+
               <TabPanel>
-                <SyntaxHighlighter language="python">
-                  {`
-from langchain.chat_models import ChatOpenAI
+                <CodeBlock
+                  language="python"
+                  code={`from langchain.chat_models import ChatOpenAI
 from langchain.prompts.chat import (
     ChatPromptTemplate,
     HumanMessagePromptTemplate,
@@ -146,10 +123,8 @@ messages = [
 ]
 response = chat(messages)
 
-print(response)
-
-            `}
-                </SyntaxHighlighter>
+print(response)`}
+                />
               </TabPanel>
             </TabPanels>
           </TabGroup>
@@ -159,4 +134,4 @@ print(response)
   );
 };
 
-export default APIRef;
+export default APIReferenceView;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/api-reference/components/CodeBlock.tsx b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/components/CodeBlock.tsx
new file mode 100644
index 0000000000..8d2fa8acb5
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/components/CodeBlock.tsx
@@ -0,0 +1,46 @@
+import { useState } from "react";
+import { CheckIcon, ClipboardIcon } from "lucide-react";
+import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
+import { oneLight } from "react-syntax-highlighter/dist/esm/styles/prism";
+
+interface CodeBlockProps {
+  code: string;
+  language: string;
+}
+
+const CodeBlock = ({ code, language }: CodeBlockProps) => {
+  const [copied, setCopied] = useState(false);
+  const copyToClipboard = () => {
+    navigator.clipboard.writeText(code);
+    setCopied(true);
+    setTimeout(() => setCopied(false), 2000);
+  };
+
+  return (
+    <div className="relative rounded-lg border border-gray-200 overflow-hidden">
+      <button
+        onClick={copyToClipboard}
+        className="absolute top-3 right-3 p-2 rounded-md bg-gray-100 hover:bg-gray-200 text-gray-600 z-10"
+        aria-label="Copy code"
+      >
+        {copied ? <CheckIcon size={16} /> : <ClipboardIcon size={16} />}
+      </button>
+      <SyntaxHighlighter
+        language={language}
+        style={oneLight}
+        customStyle={{
+          margin: 0,
+          padding: "1.5rem",
+          borderRadius: "0.5rem",
+          fontSize: "0.9rem",
+          backgroundColor: "#fafafa",
+        }}
+        showLineNumbers
+      >
+        {code}
+      </SyntaxHighlighter>
+    </div>
+  );
+};
+
+export default CodeBlock;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/api-reference/components/DocLink.tsx b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/components/DocLink.tsx
new file mode 100644
index 0000000000..a3d0416053
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/components/DocLink.tsx
@@ -0,0 +1,33 @@
+import React from "react";
+import { ExternalLink } from "lucide-react";
+
+function cn(...parts: Array<string | undefined>) {
+  return parts.filter(Boolean).join(" ");
+}
+
+export type DocLinkProps = {
+  href?: string;
+  className?: string;
+};
+
+const DocLink = ({ href, className }: DocLinkProps) => {
+  return (
+    <a
+      href={href}
+      target="_blank"
+      rel="noopener noreferrer"
+      title="Open documentation in a new tab"
+      className={cn(
+        "inline-flex items-center gap-2 rounded-xl border border-zinc-200 bg-white/80 px-3.5 py-2 text-sm font-medium text-zinc-700 shadow-sm",
+        "hover:bg-white focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-blue-500 active:translate-y-[0.5px]",
+        className,
+      )}
+    >
+      <span>API Reference Docs</span>
+      <ExternalLink aria-hidden className="h-4 w-4 opacity-80" />
+      <span className="sr-only">(opens in a new tab)</span>
+    </a>
+  );
+};
+
+export default DocLink;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/api-reference/page.tsx b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/page.tsx
index 265a6d8195..87a342c284 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/api-reference/page.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/api-reference/page.tsx
@@ -1,6 +1,6 @@
 "use client";
 
-import APIRef from "@/components/api_ref";
+import APIReferenceView from "@/app/(dashboard)/api-reference/APIReferenceView";
 import { useState } from "react";
 
 interface ProxySettings {
@@ -11,7 +11,7 @@ interface ProxySettings {
 const APIReferencePage = () => {
   const [proxySettings, setProxySettings] = useState<ProxySettings>({ PROXY_BASE_URL: "", PROXY_LOGOUT_URL: "" });
 
-  return <APIRef proxySettings={proxySettings} />;
+  return <APIReferenceView proxySettings={proxySettings} />;
 };
 
 export default APIReferencePage;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.tsx
new file mode 100644
index 0000000000..42f9612955
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView.tsx
@@ -0,0 +1,811 @@
+import React, { useState, useEffect, useRef } from "react";
+import { Text, Grid, Col } from "@tremor/react";
+import { CredentialItem, credentialListCall, CredentialsResponse } from "@/components/networking";
+
+import { handleAddModelSubmit } from "@/components/add_model/handle_add_model_submit";
+
+import CredentialsPanel from "@/components/model_add/credentials";
+import { getDisplayModelName } from "@/components/view_model/model_name_display";
+import { TabPanel, TabPanels, TabGroup, TabList, Tab, Icon } from "@tremor/react";
+import { DateRangePickerValue } from "@tremor/react";
+import {
+  modelInfoCall,
+  modelCostMap,
+  modelMetricsCall,
+  streamingModelMetricsCall,
+  modelExceptionsCall,
+  modelMetricsSlowResponsesCall,
+  getCallbacksCall,
+  setCallbacksCall,
+  modelSettingsCall,
+  adminGlobalActivityExceptions,
+  adminGlobalActivityExceptionsPerDeployment,
+  allEndUsersCall,
+} from "@/components/networking";
+import { Form } from "antd";
+import { Typography } from "antd";
+import { RefreshIcon } from "@heroicons/react/outline";
+import type { UploadProps } from "antd";
+import { Team } from "@/components/key_team_helpers/key_list";
+import TeamInfoView from "../../../components/team/team_info";
+import { Providers, getPlaceholder, getProviderModels } from "@/components/provider_info_helpers";
+import ModelInfoView from "../../../components/model_info_view";
+import AddModelTab from "../../../components/add_model/add_model_tab";
+
+import HealthCheckComponent from "../../../components/model_dashboard/HealthCheckComponent";
+import PassThroughSettings from "../../../components/pass_through_settings";
+import ModelGroupAliasSettings from "../../../components/model_group_alias_settings";
+import { all_admin_roles } from "@/utils/roles";
+import NotificationsManager from "../../../components/molecules/notifications_manager";
+import AllModelsTab from "@/app/(dashboard)/models-and-endpoints/components/AllModelsTab";
+import PriceDataManagementTab from "@/app/(dashboard)/models-and-endpoints/components/PriceDataManagementTab";
+import ModelRetrySettingsTab from "@/app/(dashboard)/models-and-endpoints/components/ModelRetrySettingsTab";
+import ModelAnalyticsTab from "@/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/ModelAnalyticsTab";
+
+interface ModelDashboardProps {
+  accessToken: string | null;
+  token: string | null;
+  userRole: string | null;
+  userID: string | null;
+  modelData: any;
+  keys: any[] | null;
+  setModelData: any;
+  premiumUser: boolean;
+  teams: Team[] | null;
+}
+
+interface RetryPolicyObject {
+  [key: string]: { [retryPolicyKey: string]: number } | undefined;
+}
+
+interface GlobalRetryPolicyObject {
+  [retryPolicyKey: string]: number;
+}
+
+interface GlobalExceptionActivityData {
+  sum_num_rate_limit_exceptions: number;
+  daily_data: { date: string; num_rate_limit_exceptions: number }[];
+}
+
+//["OpenAI", "Azure OpenAI", "Anthropic", "Gemini (Google AI Studio)", "Amazon Bedrock", "OpenAI-Compatible Endpoints (Groq, Together AI, Mistral AI, etc.)"]
+
+interface ProviderFields {
+  field_name: string;
+  field_type: string;
+  field_description: string;
+  field_value: string;
+}
+
+interface ProviderSettings {
+  name: string;
+  fields: ProviderFields[];
+}
+
+const ModelsAndEndpointsView: React.FC<ModelDashboardProps> = ({
+  accessToken,
+  token,
+  userRole,
+  userID,
+  modelData = { data: [] },
+  keys,
+  setModelData,
+  premiumUser,
+  teams,
+}) => {
+  const [addModelForm] = Form.useForm();
+  const [modelMap, setModelMap] = useState<any>(null);
+  const [lastRefreshed, setLastRefreshed] = useState("");
+
+  const [providerModels, setProviderModels] = useState<Array<string>>([]); // Explicitly typing providerModels as a string array
+
+  const [providerSettings, setProviderSettings] = useState<ProviderSettings[]>([]);
+  const [selectedProvider, setSelectedProvider] = useState<Providers>(Providers.OpenAI);
+  const [editModalVisible, setEditModalVisible] = useState<boolean>(false);
+
+  const [selectedModel, setSelectedModel] = useState<any>(null);
+  const [availableModelGroups, setAvailableModelGroups] = useState<Array<string>>([]);
+  const [availableModelAccessGroups, setAvailableModelAccessGroups] = useState<Array<string>>([]);
+  const [selectedModelGroup, setSelectedModelGroup] = useState<string | null>(null);
+  const [modelMetrics, setModelMetrics] = useState<any[]>([]);
+  const [modelMetricsCategories, setModelMetricsCategories] = useState<any[]>([]);
+  const [streamingModelMetrics, setStreamingModelMetrics] = useState<any[]>([]);
+  const [streamingModelMetricsCategories, setStreamingModelMetricsCategories] = useState<any[]>([]);
+  const [modelExceptions, setModelExceptions] = useState<any[]>([]);
+  const [allExceptions, setAllExceptions] = useState<any[]>([]);
+  const [slowResponsesData, setSlowResponsesData] = useState<any[]>([]);
+  const [dateValue, setDateValue] = useState<DateRangePickerValue>({
+    from: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000),
+    to: new Date(),
+  });
+
+  const [modelGroupRetryPolicy, setModelGroupRetryPolicy] = useState<RetryPolicyObject | null>(null);
+  const [globalRetryPolicy, setGlobalRetryPolicy] = useState<GlobalRetryPolicyObject | null>(null);
+  const [defaultRetry, setDefaultRetry] = useState<number>(0);
+
+  const [globalExceptionData, setGlobalExceptionData] = useState<GlobalExceptionActivityData>(
+    {} as GlobalExceptionActivityData,
+  );
+  const [globalExceptionPerDeployment, setGlobalExceptionPerDeployment] = useState<any[]>([]);
+
+  const [showAdvancedFilters, setShowAdvancedFilters] = useState<boolean>(false);
+  const [selectedAPIKey, setSelectedAPIKey] = useState<any | null>(null);
+  const [selectedCustomer, setSelectedCustomer] = useState<any | null>(null);
+
+  const [allEndUsers, setAllEndUsers] = useState<any[]>([]);
+
+  const [credentialsList, setCredentialsList] = useState<CredentialItem[]>([]);
+
+  // Model Group Alias state
+  const [modelGroupAlias, setModelGroupAlias] = useState<{ [key: string]: string }>({});
+
+  // Add state for advanced settings visibility
+  const [showAdvancedSettings, setShowAdvancedSettings] = useState<boolean>(false);
+
+  // Add these state variables
+  const [selectedModelId, setSelectedModelId] = useState<string | null>(null);
+  const [editModel, setEditModel] = useState<boolean>(false);
+
+  const [selectedTeamId, setSelectedTeamId] = useState<string | null>(null);
+  const [selectedTeam, setSelectedTeam] = useState<string | null>(null);
+
+  const [isDropdownOpen, setIsDropdownOpen] = useState(false);
+  const dropdownRef = useRef<HTMLDivElement>(null);
+
+  const [selectedTabIndex, setSelectedTabIndex] = useState(0);
+  const setProviderModelsFn = (provider: Providers) => {
+    const _providerModels = getProviderModels(provider, modelMap);
+    setProviderModels(_providerModels);
+    console.log(`providerModels: ${_providerModels}`);
+  };
+
+  const fetchCredentials = async (accessToken: string) => {
+    try {
+      const response: CredentialsResponse = await credentialListCall(accessToken);
+      console.log(`credentials: ${JSON.stringify(response)}`);
+      setCredentialsList(response.credentials);
+    } catch (error) {
+      console.error("Error fetching credentials:", error);
+    }
+  };
+
+  useEffect(() => {
+    const handleClickOutside = (event: MouseEvent) => {
+      if (dropdownRef.current && !dropdownRef.current.contains(event.target as Node)) {
+        setIsDropdownOpen(false);
+      }
+    };
+
+    document.addEventListener("mousedown", handleClickOutside);
+    return () => document.removeEventListener("mousedown", handleClickOutside);
+  }, []);
+
+  const uploadProps: UploadProps = {
+    name: "file",
+    accept: ".json",
+    beforeUpload: (file) => {
+      if (file.type === "application/json") {
+        const reader = new FileReader();
+        reader.onload = (e) => {
+          if (e.target) {
+            const jsonStr = e.target.result as string;
+            console.log(`Resetting vertex_credentials to JSON; jsonStr: ${jsonStr}`);
+            addModelForm.setFieldsValue({ vertex_credentials: jsonStr });
+            console.log("Form values right after setting:", addModelForm.getFieldsValue());
+          }
+        };
+        reader.readAsText(file);
+      }
+      // Prevent upload
+      return false;
+    },
+    onChange(info) {
+      console.log("Upload onChange triggered with values:", info);
+      console.log("Current form values:", addModelForm.getFieldsValue());
+
+      if (info.file.status !== "uploading") {
+        console.log(info.file, info.fileList);
+      }
+      if (info.file.status === "done") {
+        NotificationsManager.success(`${info.file.name} file uploaded successfully`);
+      } else if (info.file.status === "error") {
+        NotificationsManager.fromBackend(`${info.file.name} file upload failed.`);
+      }
+    },
+  };
+
+  const handleRefreshClick = () => {
+    // Update the 'lastRefreshed' state to the current date and time
+    const currentDate = new Date();
+    setLastRefreshed(currentDate.toLocaleString());
+  };
+
+  const handleSaveRetrySettings = async () => {
+    if (!accessToken) {
+      console.error("Access token is missing");
+      return;
+    }
+
+    try {
+      const payload: any = {
+        router_settings: {},
+      };
+
+      if (selectedModelGroup === "global") {
+        // Only update global retry policy
+        console.log("Saving global retry policy:", globalRetryPolicy);
+        if (globalRetryPolicy) {
+          payload.router_settings.retry_policy = globalRetryPolicy;
+        }
+        NotificationsManager.success("Global retry settings saved successfully");
+      } else {
+        // Only update model group retry policy
+        console.log("Saving model group retry policy for", selectedModelGroup, ":", modelGroupRetryPolicy);
+        if (modelGroupRetryPolicy) {
+          payload.router_settings.model_group_retry_policy = modelGroupRetryPolicy;
+        }
+        NotificationsManager.success(`Retry settings saved successfully for ${selectedModelGroup}`);
+      }
+
+      await setCallbacksCall(accessToken, payload);
+    } catch (error) {
+      console.error("Failed to save retry settings:", error);
+      NotificationsManager.fromBackend("Failed to save retry settings");
+    }
+  };
+
+  useEffect(() => {
+    if (!accessToken || !token || !userRole || !userID) {
+      return;
+    }
+    const fetchData = async () => {
+      try {
+        // Replace with your actual API call for model data
+        const modelDataResponse = await modelInfoCall(accessToken, userID, userRole);
+        console.log("Model data response:", modelDataResponse.data);
+        setModelData(modelDataResponse);
+        const _providerSettings = await modelSettingsCall(accessToken);
+        if (_providerSettings) {
+          setProviderSettings(_providerSettings);
+        }
+
+        // loop through modelDataResponse and get all`model_name` values
+        let all_model_groups: Set<string> = new Set();
+        for (let i = 0; i < modelDataResponse.data.length; i++) {
+          const model = modelDataResponse.data[i];
+          all_model_groups.add(model.model_name);
+        }
+        console.log("all_model_groups:", all_model_groups);
+        let _array_model_groups = Array.from(all_model_groups);
+        // sort _array_model_groups alphabetically
+        _array_model_groups = _array_model_groups.sort();
+
+        setAvailableModelGroups(_array_model_groups);
+
+        let all_model_access_groups: Set<string> = new Set();
+        for (let i = 0; i < modelDataResponse.data.length; i++) {
+          const model = modelDataResponse.data[i];
+          let model_info: any | null = model.model_info;
+          if (model_info) {
+            let access_groups = model_info.access_groups;
+            if (access_groups) {
+              for (let j = 0; j < access_groups.length; j++) {
+                all_model_access_groups.add(access_groups[j]);
+              }
+            }
+          }
+        }
+
+        setAvailableModelAccessGroups(Array.from(all_model_access_groups));
+
+        console.log("array_model_groups:", _array_model_groups);
+        let _initial_model_group = "all";
+        if (_array_model_groups.length > 0) {
+          // set selectedModelGroup to the last model group
+          _initial_model_group = _array_model_groups[_array_model_groups.length - 1];
+          console.log("_initial_model_group:", _initial_model_group);
+          //setSelectedModelGroup(_initial_model_group);
+        }
+
+        console.log("selectedModelGroup:", selectedModelGroup);
+
+        const modelMetricsResponse = await modelMetricsCall(
+          accessToken,
+          userID,
+          userRole,
+          _initial_model_group,
+          dateValue.from?.toISOString(),
+          dateValue.to?.toISOString(),
+          selectedAPIKey?.token,
+          selectedCustomer,
+        );
+
+        console.log("Model metrics response:", modelMetricsResponse);
+        // Sort by latency (avg_latency_per_token)
+
+        setModelMetrics(modelMetricsResponse.data);
+        setModelMetricsCategories(modelMetricsResponse.all_api_bases);
+
+        const streamingModelMetricsResponse = await streamingModelMetricsCall(
+          accessToken,
+          _initial_model_group,
+          dateValue.from?.toISOString(),
+          dateValue.to?.toISOString(),
+        );
+
+        // Assuming modelMetricsResponse now contains the metric data for the specified model group
+        setStreamingModelMetrics(streamingModelMetricsResponse.data);
+        setStreamingModelMetricsCategories(streamingModelMetricsResponse.all_api_bases);
+
+        const modelExceptionsResponse = await modelExceptionsCall(
+          accessToken,
+          userID,
+          userRole,
+          _initial_model_group,
+          dateValue.from?.toISOString(),
+          dateValue.to?.toISOString(),
+          selectedAPIKey?.token,
+          selectedCustomer,
+        );
+        console.log("Model exceptions response:", modelExceptionsResponse);
+        setModelExceptions(modelExceptionsResponse.data);
+        setAllExceptions(modelExceptionsResponse.exception_types);
+
+        const slowResponses = await modelMetricsSlowResponsesCall(
+          accessToken,
+          userID,
+          userRole,
+          _initial_model_group,
+          dateValue.from?.toISOString(),
+          dateValue.to?.toISOString(),
+          selectedAPIKey?.token,
+          selectedCustomer,
+        );
+
+        const dailyExceptions = await adminGlobalActivityExceptions(
+          accessToken,
+          dateValue.from?.toISOString().split("T")[0],
+          dateValue.to?.toISOString().split("T")[0],
+          _initial_model_group,
+        );
+
+        setGlobalExceptionData(dailyExceptions);
+
+        const dailyExceptionsPerDeplyment = await adminGlobalActivityExceptionsPerDeployment(
+          accessToken,
+          dateValue.from?.toISOString().split("T")[0],
+          dateValue.to?.toISOString().split("T")[0],
+          _initial_model_group,
+        );
+
+        setGlobalExceptionPerDeployment(dailyExceptionsPerDeplyment);
+
+        console.log("dailyExceptions:", dailyExceptions);
+
+        console.log("dailyExceptionsPerDeplyment:", dailyExceptionsPerDeplyment);
+
+        console.log("slowResponses:", slowResponses);
+
+        setSlowResponsesData(slowResponses);
+
+        let all_end_users_data = await allEndUsersCall(accessToken);
+
+        setAllEndUsers(all_end_users_data?.map((u: any) => u.user_id));
+
+        const routerSettingsInfo = await getCallbacksCall(accessToken, userID, userRole);
+
+        let router_settings = routerSettingsInfo.router_settings;
+
+        console.log("routerSettingsInfo:", router_settings);
+        ``;
+        let model_group_retry_policy = router_settings.model_group_retry_policy;
+        let default_retries = router_settings.num_retries;
+
+        console.log("model_group_retry_policy:", model_group_retry_policy);
+        console.log("default_retries:", default_retries);
+        setModelGroupRetryPolicy(model_group_retry_policy);
+        setGlobalRetryPolicy(router_settings.retry_policy);
+        setDefaultRetry(default_retries);
+
+        // Set model group alias
+        const model_group_alias = router_settings.model_group_alias || {};
+        setModelGroupAlias(model_group_alias);
+      } catch (error) {
+        console.error("There was an error fetching the model data", error);
+      }
+    };
+
+    if (accessToken && token && userRole && userID) {
+      fetchData();
+    }
+
+    const fetchModelMap = async () => {
+      const data = await modelCostMap(accessToken);
+      console.log(`received model cost map data: ${Object.keys(data)}`);
+      setModelMap(data);
+    };
+    if (modelMap == null) {
+      fetchModelMap();
+    }
+
+    handleRefreshClick();
+  }, [accessToken, token, userRole, userID, modelMap, lastRefreshed, selectedTeam]);
+
+  if (!modelData) {
+    return <div>Loading...</div>;
+  }
+
+  if (!accessToken || !token || !userRole || !userID) {
+    return <div>Loading...</div>;
+  }
+  let all_models_on_proxy: any[] = [];
+  let all_providers: string[] = [];
+
+  // loop through model data and edit each row
+  for (let i = 0; i < modelData.data.length; i++) {
+    let curr_model = modelData.data[i];
+    let litellm_model_name = curr_model?.litellm_params?.model;
+    let custom_llm_provider = curr_model?.litellm_params?.custom_llm_provider;
+    let model_info = curr_model?.model_info;
+
+    let defaultProvider = "openai";
+    let provider = "";
+    let input_cost = "Undefined";
+    let output_cost = "Undefined";
+    let max_tokens = "Undefined";
+    let max_input_tokens = "Undefined";
+    let cleanedLitellmParams = {};
+
+    const getProviderFromModel = (model: string) => {
+      /**
+       * Use model map
+       * - check if model in model map
+       * - return it's litellm_provider, if so
+       */
+      console.log(`GET PROVIDER CALLED! - ${modelMap}`);
+      if (modelMap !== null && modelMap !== undefined) {
+        if (typeof modelMap == "object" && model in modelMap) {
+          return modelMap[model]["litellm_provider"];
+        }
+      }
+      return "openai";
+    };
+
+    // Check if litellm_model_name is null or undefined
+    if (litellm_model_name) {
+      // Split litellm_model_name based on "/"
+      let splitModel = litellm_model_name.split("/");
+
+      // Get the first element in the split
+      let firstElement = splitModel[0];
+
+      // If there is only one element, default provider to openai
+      provider = custom_llm_provider;
+      if (!provider) {
+        provider = splitModel.length === 1 ? getProviderFromModel(litellm_model_name) : firstElement;
+      }
+    } else {
+      // litellm_model_name is null or undefined, default provider to openai
+      provider = "-";
+    }
+
+    if (model_info) {
+      input_cost = model_info?.input_cost_per_token;
+      output_cost = model_info?.output_cost_per_token;
+      max_tokens = model_info?.max_tokens;
+      max_input_tokens = model_info?.max_input_tokens;
+    }
+
+    if (curr_model?.litellm_params) {
+      cleanedLitellmParams = Object.fromEntries(
+        Object.entries(curr_model?.litellm_params).filter(([key]) => key !== "model" && key !== "api_base"),
+      );
+    }
+
+    modelData.data[i].provider = provider;
+    modelData.data[i].input_cost = input_cost;
+    modelData.data[i].output_cost = output_cost;
+    modelData.data[i].litellm_model_name = litellm_model_name;
+    all_providers.push(provider);
+
+    // Convert Cost in terms of Cost per 1M tokens
+    if (modelData.data[i].input_cost) {
+      modelData.data[i].input_cost = (Number(modelData.data[i].input_cost) * 1000000).toFixed(2);
+    }
+
+    if (modelData.data[i].output_cost) {
+      modelData.data[i].output_cost = (Number(modelData.data[i].output_cost) * 1000000).toFixed(2);
+    }
+
+    modelData.data[i].max_tokens = max_tokens;
+    modelData.data[i].max_input_tokens = max_input_tokens;
+    modelData.data[i].api_base = curr_model?.litellm_params?.api_base;
+    modelData.data[i].cleanedLitellmParams = cleanedLitellmParams;
+
+    all_models_on_proxy.push(curr_model.model_name);
+
+    console.log(modelData.data[i]);
+  }
+  // when users click request access show pop up to allow them to request access
+
+  if (userRole && userRole == "Admin Viewer") {
+    const { Title, Paragraph } = Typography;
+    return (
+      <div>
+        <Title level={1}>Access Denied</Title>
+        <Paragraph>Ask your proxy admin for access to view all models</Paragraph>
+      </div>
+    );
+  }
+  const customTooltip = (props: any) => {
+    const { payload, active } = props;
+    if (!active || !payload) return null;
+
+    // Extract the date from the first item in the payload array
+    const date = payload[0]?.payload?.date;
+
+    // Sort the payload array by category.value in descending order
+    let sortedPayload = payload.sort((a: any, b: any) => b.value - a.value);
+
+    // Only show the top 5, the 6th one should be called "X other categories" depending on how many categories were not shown
+    if (sortedPayload.length > 5) {
+      let remainingItems = sortedPayload.length - 5;
+      sortedPayload = sortedPayload.slice(0, 5);
+      sortedPayload.push({
+        dataKey: `${remainingItems} other deployments`,
+        value: payload.slice(5).reduce((acc: number, curr: any) => acc + curr.value, 0),
+        color: "gray",
+      });
+    }
+
+    return (
+      <div className="w-150 rounded-tremor-default border border-tremor-border bg-tremor-background p-2 text-tremor-default shadow-tremor-dropdown">
+        {date && <p className="text-tremor-content-emphasis mb-2">Date: {date}</p>}
+        {sortedPayload.map((category: any, idx: number) => {
+          const roundedValue = parseFloat(category.value.toFixed(5));
+          const displayValue = roundedValue === 0 && category.value > 0 ? "<0.00001" : roundedValue.toFixed(5);
+          return (
+            <div key={idx} className="flex justify-between">
+              <div className="flex items-center space-x-2">
+                <div className={`w-2 h-2 mt-1 rounded-full bg-${category.color}-500`} />
+                <p className="text-tremor-content">{category.dataKey}</p>
+              </div>
+              <p className="font-medium text-tremor-content-emphasis text-righ ml-2">{displayValue}</p>
+            </div>
+          );
+        })}
+      </div>
+    );
+  };
+
+  const handleOk = () => {
+    console.log("🚀 handleOk called from model dashboard!");
+    console.log("Current form values:", addModelForm.getFieldsValue());
+
+    addModelForm
+      .validateFields()
+      .then((values: any) => {
+        console.log("✅ Validation passed, submitting:", values);
+        handleAddModelSubmit(values, accessToken, addModelForm, handleRefreshClick);
+      })
+      .catch((error: any) => {
+        console.error("❌ Validation failed:", error);
+        console.error("Form errors:", error.errorFields);
+        const errorMessages =
+          error.errorFields
+            ?.map((field: any) => {
+              return `${field.name.join(".")}: ${field.errors.join(", ")}`;
+            })
+            .join(" | ") || "Unknown validation error";
+        NotificationsManager.fromBackend(`Please fill in the following required fields: ${errorMessages}`);
+      });
+  };
+
+  console.log(`selectedProvider: ${selectedProvider}`);
+  console.log(`providerModels.length: ${providerModels.length}`);
+  Object.keys(Providers).find((key) => (Providers as { [index: string]: any })[key] === selectedProvider);
+  // If a team is selected, render TeamInfoView in full page layout
+  if (selectedTeamId) {
+    return (
+      <div className="w-full h-full">
+        <TeamInfoView
+          teamId={selectedTeamId}
+          onClose={() => setSelectedTeamId(null)}
+          accessToken={accessToken}
+          is_team_admin={userRole === "Admin"}
+          is_proxy_admin={userRole === "Proxy Admin"}
+          userModels={all_models_on_proxy}
+          editTeam={false}
+          onUpdate={handleRefreshClick}
+        />
+      </div>
+    );
+  }
+
+  return (
+    <div className="w-full mx-4 h-[75vh]">
+      <Grid numItems={1} className="gap-2 p-8 w-full mt-2">
+        <Col numColSpan={1} className="flex flex-col gap-2">
+          {/* Model Management Header */}
+          <div className="flex justify-between items-center mb-4">
+            <div>
+              <h2 className="text-lg font-semibold">Model Management</h2>
+              {!all_admin_roles.includes(userRole) ? (
+                <p className="text-sm text-gray-600">Add models for teams you are an admin for.</p>
+              ) : (
+                <p className="text-sm text-gray-600">Add and manage models for the proxy</p>
+              )}
+            </div>
+          </div>
+          {selectedModelId ? (
+            <ModelInfoView
+              modelId={selectedModelId}
+              editModel={true}
+              onClose={() => {
+                setSelectedModelId(null);
+                setEditModel(false);
+              }}
+              modelData={modelData.data.find((model: any) => model.model_info.id === selectedModelId)}
+              accessToken={accessToken}
+              userID={userID}
+              userRole={userRole}
+              setEditModalVisible={setEditModalVisible}
+              setSelectedModel={setSelectedModel}
+              onModelUpdate={(updatedModel) => {
+                // Update the model in the modelData.data array
+                const updatedModelData = {
+                  ...modelData,
+                  data: modelData.data.map((model: any) =>
+                    model.model_info.id === updatedModel.model_info.id ? updatedModel : model,
+                  ),
+                };
+                setModelData(updatedModelData);
+                // Trigger a refresh to update UI
+                handleRefreshClick();
+              }}
+              modelAccessGroups={availableModelAccessGroups}
+            />
+          ) : (
+            <TabGroup index={selectedTabIndex} onIndexChange={setSelectedTabIndex} className="gap-2 h-[75vh] w-full ">
+              <TabList className="flex justify-between mt-2 w-full items-center">
+                <div className="flex">
+                  {all_admin_roles.includes(userRole) ? <Tab>All Models</Tab> : <Tab>Your Models</Tab>}
+                  <Tab>Add Model</Tab>
+                  {all_admin_roles.includes(userRole) && <Tab>LLM Credentials</Tab>}
+                  {all_admin_roles.includes(userRole) && <Tab>Pass-Through Endpoints</Tab>}
+                  {all_admin_roles.includes(userRole) && <Tab>Health Status</Tab>}
+                  {all_admin_roles.includes(userRole) && <Tab>Model Analytics</Tab>}
+                  {all_admin_roles.includes(userRole) && <Tab>Model Retry Settings</Tab>}
+                  {all_admin_roles.includes(userRole) && <Tab>Model Group Alias</Tab>}
+                  {all_admin_roles.includes(userRole) && <Tab>Price Data Reload</Tab>}
+                </div>
+
+                <div className="flex items-center space-x-2">
+                  {lastRefreshed && <Text>Last Refreshed: {lastRefreshed}</Text>}
+                  <Icon
+                    icon={RefreshIcon} // Modify as necessary for correct icon name
+                    variant="shadow"
+                    size="xs"
+                    className="self-center"
+                    onClick={handleRefreshClick}
+                  />
+                </div>
+              </TabList>
+              <TabPanels>
+                <AllModelsTab
+                  selectedModelGroup={selectedModelGroup}
+                  setSelectedModelGroup={setSelectedModelGroup}
+                  availableModelGroups={availableModelGroups}
+                  availableModelAccessGroups={availableModelAccessGroups}
+                  setSelectedModelId={setSelectedModelId}
+                  setSelectedTeamId={setSelectedTeamId}
+                  setEditModel={setEditModel}
+                  modelData={modelData}
+                />
+                <TabPanel className="h-full">
+                  <AddModelTab
+                    form={addModelForm}
+                    handleOk={handleOk}
+                    selectedProvider={selectedProvider}
+                    setSelectedProvider={setSelectedProvider}
+                    providerModels={providerModels}
+                    setProviderModelsFn={setProviderModelsFn}
+                    getPlaceholder={getPlaceholder}
+                    uploadProps={uploadProps}
+                    showAdvancedSettings={showAdvancedSettings}
+                    setShowAdvancedSettings={setShowAdvancedSettings}
+                    teams={teams}
+                    credentials={credentialsList}
+                    accessToken={accessToken}
+                    userRole={userRole}
+                    premiumUser={premiumUser}
+                  />
+                </TabPanel>
+                <TabPanel>
+                  <CredentialsPanel
+                    accessToken={accessToken}
+                    uploadProps={uploadProps}
+                    credentialList={credentialsList}
+                    fetchCredentials={fetchCredentials}
+                  />
+                </TabPanel>
+                <TabPanel>
+                  <PassThroughSettings
+                    accessToken={accessToken}
+                    userRole={userRole}
+                    userID={userID}
+                    modelData={modelData}
+                  />
+                </TabPanel>
+                <TabPanel>
+                  <HealthCheckComponent
+                    accessToken={accessToken}
+                    modelData={modelData}
+                    all_models_on_proxy={all_models_on_proxy}
+                    getDisplayModelName={getDisplayModelName}
+                    setSelectedModelId={setSelectedModelId}
+                  />
+                </TabPanel>
+                <ModelAnalyticsTab
+                  dateValue={dateValue}
+                  setDateValue={setDateValue}
+                  selectedModelGroup={selectedModelGroup}
+                  availableModelGroups={availableModelGroups}
+                  setShowAdvancedFilters={setShowAdvancedFilters}
+                  modelMetrics={modelMetrics}
+                  modelMetricsCategories={modelMetricsCategories}
+                  streamingModelMetrics={streamingModelMetrics}
+                  streamingModelMetricsCategories={streamingModelMetricsCategories}
+                  customTooltip={customTooltip}
+                  slowResponsesData={slowResponsesData}
+                  modelExceptions={modelExceptions}
+                  globalExceptionData={globalExceptionData}
+                  allExceptions={allExceptions}
+                  globalExceptionPerDeployment={globalExceptionPerDeployment}
+                  allEndUsers={allEndUsers}
+                  keys={keys}
+                  setSelectedAPIKey={setSelectedAPIKey}
+                  setSelectedCustomer={setSelectedCustomer}
+                  teams={teams}
+                  selectedAPIKey={selectedAPIKey}
+                  selectedCustomer={selectedCustomer}
+                  selectedTeam={selectedTeam}
+                  setAllExceptions={setAllExceptions}
+                  setGlobalExceptionData={setGlobalExceptionData}
+                  setGlobalExceptionPerDeployment={setGlobalExceptionPerDeployment}
+                  setModelExceptions={setModelExceptions}
+                  setModelMetrics={setModelMetrics}
+                  setModelMetricsCategories={setModelMetricsCategories}
+                  setSelectedModelGroup={setSelectedModelGroup}
+                  setSlowResponsesData={setSlowResponsesData}
+                  setStreamingModelMetrics={setStreamingModelMetrics}
+                  setStreamingModelMetricsCategories={setStreamingModelMetricsCategories}
+                />
+                <ModelRetrySettingsTab
+                  selectedModelGroup={selectedModelGroup}
+                  setSelectedModelGroup={setSelectedModelGroup}
+                  availableModelGroups={availableModelGroups}
+                  globalRetryPolicy={globalRetryPolicy}
+                  setGlobalRetryPolicy={setGlobalRetryPolicy}
+                  defaultRetry={defaultRetry}
+                  modelGroupRetryPolicy={modelGroupRetryPolicy}
+                  setModelGroupRetryPolicy={setModelGroupRetryPolicy}
+                  handleSaveRetrySettings={handleSaveRetrySettings}
+                />
+                <TabPanel>
+                  <ModelGroupAliasSettings
+                    accessToken={accessToken}
+                    initialModelGroupAlias={modelGroupAlias}
+                    onAliasUpdate={setModelGroupAlias}
+                  />
+                </TabPanel>
+                <PriceDataManagementTab setModelMap={setModelMap} />
+              </TabPanels>
+            </TabGroup>
+          )}
+        </Col>
+      </Grid>
+    </div>
+  );
+};
+
+export default ModelsAndEndpointsView;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/AllModelsTab.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/AllModelsTab.tsx
new file mode 100644
index 0000000000..43632de6ed
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/AllModelsTab.tsx
@@ -0,0 +1,367 @@
+import { Grid, Select, SelectItem, TabPanel, Text } from "@tremor/react";
+import { InfoCircleOutlined } from "@ant-design/icons";
+import { ModelDataTable } from "@/components/model_dashboard/table";
+import { columns } from "@/components/molecules/models/columns";
+import { getDisplayModelName } from "@/components/view_model/model_name_display";
+import React, { useEffect, useMemo, useRef, useState } from "react";
+import useTeams from "@/app/(dashboard)/hooks/useTeams";
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+import { Table as TableInstance, PaginationState } from "@tanstack/react-table";
+
+type ModelViewMode = "all" | "current_team";
+
+interface AllModelsTabProps {
+  selectedModelGroup: string | null;
+  setSelectedModelGroup: (selectedModelGroup: string) => void;
+  availableModelGroups: string[];
+  availableModelAccessGroups: string[];
+  setSelectedModelId: (id: string) => void;
+  setSelectedTeamId: (id: string) => void;
+  setEditModel: (edit: boolean) => void;
+  modelData: any;
+}
+
+const AllModelsTab = ({
+  selectedModelGroup,
+  setSelectedModelGroup,
+  availableModelGroups,
+  availableModelAccessGroups,
+  setSelectedModelId,
+  setSelectedTeamId,
+  setEditModel,
+  modelData,
+}: AllModelsTabProps) => {
+  const { userId, userRole, premiumUser } = useAuthorized();
+  const { teams } = useTeams();
+
+  const [modelNameSearch, setModelNameSearch] = useState<string>("");
+  const [modelViewMode, setModelViewMode] = useState<ModelViewMode>("current_team");
+  const [currentTeam, setCurrentTeam] = useState<string>("personal"); // 'personal' or team_id
+  const [showFilters, setShowFilters] = useState<boolean>(false);
+  const [selectedModelAccessGroupFilter, setSelectedModelAccessGroupFilter] = useState<string | null>(null);
+  const [expandedRows, setExpandedRows] = useState<Set<string>>(new Set());
+  const [pagination, setPagination] = useState<PaginationState>({
+    pageIndex: 0,
+    pageSize: 50,
+  });
+  const tableRef = useRef<TableInstance<any>>(null);
+
+  const filteredData = useMemo(() => {
+    if (!modelData || !modelData.data || modelData.data.length === 0) {
+      return [];
+    }
+
+    return modelData.data.filter((model: any) => {
+      const searchMatch =
+        modelNameSearch === "" || model.model_name.toLowerCase().includes(modelNameSearch.toLowerCase());
+
+      const modelNameMatch =
+        selectedModelGroup === "all" ||
+        model.model_name === selectedModelGroup ||
+        !selectedModelGroup ||
+        (selectedModelGroup === "wildcard" && model.model_name?.includes("*"));
+
+      const accessGroupMatch =
+        selectedModelAccessGroupFilter === "all" ||
+        model.model_info["access_groups"]?.includes(selectedModelAccessGroupFilter) ||
+        !selectedModelAccessGroupFilter;
+
+      let teamAccessMatch = true;
+      if (modelViewMode === "current_team") {
+        if (currentTeam === "personal") {
+          teamAccessMatch = model.model_info?.direct_access === true;
+        } else {
+          teamAccessMatch = model.model_info?.access_via_team_ids?.includes(currentTeam) === true;
+        }
+      }
+
+      return searchMatch && modelNameMatch && accessGroupMatch && teamAccessMatch;
+    });
+  }, [modelData, modelNameSearch, selectedModelGroup, selectedModelAccessGroupFilter, currentTeam, modelViewMode]);
+
+  const paginatedData = useMemo(() => {
+    const startIndex = pagination.pageIndex * pagination.pageSize;
+    const endIndex = startIndex + pagination.pageSize;
+    return filteredData.slice(startIndex, endIndex);
+  }, [filteredData, pagination.pageIndex, pagination.pageSize]);
+
+  useEffect(() => {
+    setPagination((prev: PaginationState) => ({ ...prev, pageIndex: 0 }));
+  }, [modelNameSearch, selectedModelGroup, selectedModelAccessGroupFilter, currentTeam, modelViewMode]);
+
+  const resetFilters = () => {
+    setModelNameSearch("");
+    setSelectedModelGroup("all");
+    setSelectedModelAccessGroupFilter(null);
+    setCurrentTeam("personal");
+    setModelViewMode("current_team");
+    setPagination({ pageIndex: 0, pageSize: 50 });
+  };
+
+  return (
+    <TabPanel>
+      <Grid>
+        <div className="flex flex-col space-y-4">
+          <div className="bg-white rounded-lg shadow">
+            {/* Current Team and View Mode Selector - Prominent Section */}
+            <div className="border-b px-6 py-4 bg-gray-50">
+              <div className="flex items-center justify-between">
+                <div className="flex items-center gap-4">
+                  <Text className="text-lg font-semibold text-gray-900">Current Team:</Text>
+                  <Select
+                    className="w-80"
+                    defaultValue="personal"
+                    value={currentTeam}
+                    onValueChange={(value) => setCurrentTeam(value)}
+                  >
+                    <SelectItem value="personal">
+                      <div className="flex items-center gap-2">
+                        <div className="w-2 h-2 bg-blue-500 rounded-full"></div>
+                        <span className="font-medium">Personal</span>
+                      </div>
+                    </SelectItem>
+                    {teams
+                      ?.filter((team) => team.team_id)
+                      .map((team) => (
+                        <SelectItem key={team.team_id} value={team.team_id}>
+                          <div className="flex items-center gap-2">
+                            <div className="w-2 h-2 bg-green-500 rounded-full"></div>
+                            <span className="font-medium">
+                              {team.team_alias
+                                ? `${team.team_alias.slice(0, 30)}...`
+                                : `Team ${team.team_id.slice(0, 30)}...`}
+                            </span>
+                          </div>
+                        </SelectItem>
+                      ))}
+                  </Select>
+                </div>
+
+                <div className="flex items-center gap-4">
+                  <Text className="text-lg font-semibold text-gray-900">View:</Text>
+                  <Select
+                    className="w-64"
+                    defaultValue="current_team"
+                    value={modelViewMode}
+                    onValueChange={(value) => setModelViewMode(value as "current_team" | "all")}
+                  >
+                    <SelectItem value="current_team">
+                      <div className="flex items-center gap-2">
+                        <div className="w-2 h-2 bg-purple-500 rounded-full"></div>
+                        <span className="font-medium">Current Team Models</span>
+                      </div>
+                    </SelectItem>
+                    <SelectItem value="all">
+                      <div className="flex items-center gap-2">
+                        <div className="w-2 h-2 bg-gray-500 rounded-full"></div>
+                        <span className="font-medium">All Available Models</span>
+                      </div>
+                    </SelectItem>
+                  </Select>
+                </div>
+              </div>
+
+              {modelViewMode === "current_team" && (
+                <div className="flex items-start gap-2 mt-3">
+                  <InfoCircleOutlined className="text-gray-400 mt-0.5 flex-shrink-0 text-xs" />
+                  <div className="text-xs text-gray-500">
+                    {currentTeam === "personal" ? (
+                      <span>
+                        To access these models: Create a Virtual Key without selecting a team on the{" "}
+                        <a
+                          href="/public?login=success&page=api-keys"
+                          className="text-gray-600 hover:text-gray-800 underline"
+                        >
+                          Virtual Keys page
+                        </a>
+                      </span>
+                    ) : (
+                      <span>
+                        To access these models: Create a Virtual Key and select Team as &quot;
+                        {currentTeam}&quot; on the{" "}
+                        <a
+                          href="/public?login=success&page=api-keys"
+                          className="text-gray-600 hover:text-gray-800 underline"
+                        >
+                          Virtual Keys page
+                        </a>
+                      </span>
+                    )}
+                  </div>
+                </div>
+              )}
+            </div>
+
+            {/* Search and Filter Controls */}
+            <div className="border-b px-6 py-4">
+              <div className="flex flex-col space-y-4">
+                {/* Search and Filter Controls */}
+                <div className="flex flex-wrap items-center gap-3">
+                  {/* Model Name Search */}
+                  <div className="relative w-64">
+                    <input
+                      type="text"
+                      placeholder="Search model names..."
+                      className="w-full px-3 py-2 pl-8 border rounded-md text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
+                      value={modelNameSearch}
+                      onChange={(e) => setModelNameSearch(e.target.value)}
+                    />
+                    <svg
+                      className="absolute left-2.5 top-2.5 h-4 w-4 text-gray-500"
+                      fill="none"
+                      stroke="currentColor"
+                      viewBox="0 0 24 24"
+                    >
+                      <path
+                        strokeLinecap="round"
+                        strokeLinejoin="round"
+                        strokeWidth={2}
+                        d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z"
+                      />
+                    </svg>
+                  </div>
+
+                  {/* Filter Button */}
+                  <button
+                    className={`px-3 py-2 text-sm border rounded-md hover:bg-gray-50 flex items-center gap-2 ${showFilters ? "bg-gray-100" : ""}`}
+                    onClick={() => setShowFilters(!showFilters)}
+                  >
+                    <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                      <path
+                        strokeLinecap="round"
+                        strokeLinejoin="round"
+                        strokeWidth={2}
+                        d="M3 4a1 1 0 011-1h16a1 1 0 011 1v2.586a1 1 0 01-.293.707l-6.414 6.414a1 1 0 00-.293.707V17l-4 4v-6.586a1 1 0 00-.293-.707L3.293 7.293A1 1 0 013 6.586V4z"
+                      />
+                    </svg>
+                    Filters
+                  </button>
+
+                  {/* Reset Filters Button */}
+                  <button
+                    className="px-3 py-2 text-sm border rounded-md hover:bg-gray-50 flex items-center gap-2"
+                    onClick={resetFilters}
+                  >
+                    <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                      <path
+                        strokeLinecap="round"
+                        strokeLinejoin="round"
+                        strokeWidth={2}
+                        d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15"
+                      />
+                    </svg>
+                    Reset Filters
+                  </button>
+                </div>
+
+                {/* Additional Filters */}
+                {showFilters && (
+                  <div className="flex flex-wrap items-center gap-3 mt-3">
+                    {/* Model Name Filter */}
+                    <div className="w-64">
+                      <Select
+                        value={selectedModelGroup ?? "all"}
+                        onValueChange={(value) => setSelectedModelGroup(value === "all" ? "all" : value)}
+                        placeholder="Filter by Public Model Name"
+                      >
+                        <SelectItem value="all">All Models</SelectItem>
+                        <SelectItem value="wildcard">Wildcard Models (*)</SelectItem>
+                        {availableModelGroups.map((group, idx) => (
+                          <SelectItem key={idx} value={group}>
+                            {group}
+                          </SelectItem>
+                        ))}
+                      </Select>
+                    </div>
+
+                    {/* Model Access Group Filter */}
+                    <div className="w-64">
+                      <Select
+                        value={selectedModelAccessGroupFilter ?? "all"}
+                        onValueChange={(value) => setSelectedModelAccessGroupFilter(value === "all" ? null : value)}
+                        placeholder="Filter by Model Access Group"
+                      >
+                        <SelectItem value="all">All Model Access Groups</SelectItem>
+                        {availableModelAccessGroups.map((accessGroup, idx) => (
+                          <SelectItem key={idx} value={accessGroup}>
+                            {accessGroup}
+                          </SelectItem>
+                        ))}
+                      </Select>
+                    </div>
+                  </div>
+                )}
+
+                {/* Results Count and Pagination Controls */}
+                <div className="flex justify-between items-center">
+                  <span className="text-sm text-gray-700">
+                    {filteredData.length > 0
+                      ? `Showing ${pagination.pageIndex * pagination.pageSize + 1} - ${Math.min(
+                          (pagination.pageIndex + 1) * pagination.pageSize,
+                          filteredData.length,
+                        )} of ${filteredData.length} results`
+                      : "Showing 0 results"}
+                  </span>
+
+                  {/* Pagination Controls */}
+                  {filteredData.length > pagination.pageSize && (
+                    <div className="flex items-center space-x-2">
+                      <button
+                        onClick={() =>
+                          setPagination((prev: PaginationState) => ({ ...prev, pageIndex: prev.pageIndex - 1 }))
+                        }
+                        disabled={pagination.pageIndex === 0}
+                        className={`px-3 py-1 text-sm border rounded-md ${
+                          pagination.pageIndex === 0
+                            ? "bg-gray-100 text-gray-400 cursor-not-allowed"
+                            : "hover:bg-gray-50"
+                        }`}
+                      >
+                        Previous
+                      </button>
+
+                      <button
+                        onClick={() =>
+                          setPagination((prev: PaginationState) => ({ ...prev, pageIndex: prev.pageIndex + 1 }))
+                        }
+                        disabled={pagination.pageIndex >= Math.ceil(filteredData.length / pagination.pageSize) - 1}
+                        className={`px-3 py-1 text-sm border rounded-md ${
+                          pagination.pageIndex >= Math.ceil(filteredData.length / pagination.pageSize) - 1
+                            ? "bg-gray-100 text-gray-400 cursor-not-allowed"
+                            : "hover:bg-gray-50"
+                        }`}
+                      >
+                        Next
+                      </button>
+                    </div>
+                  )}
+                </div>
+              </div>
+            </div>
+
+            <ModelDataTable
+              columns={columns(
+                userRole,
+                userId,
+                premiumUser,
+                setSelectedModelId,
+                setSelectedTeamId,
+                getDisplayModelName,
+                () => {},
+                () => {},
+                setEditModel,
+                expandedRows,
+                setExpandedRows,
+              )}
+              data={paginatedData}
+              isLoading={false}
+              table={tableRef}
+            />
+          </div>
+        </div>
+      </Grid>
+    </TabPanel>
+  );
+};
+
+export default AllModelsTab;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/FilterByContent.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/FilterByContent.tsx
new file mode 100644
index 0000000000..60f4819c0c
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/FilterByContent.tsx
@@ -0,0 +1,134 @@
+import { Select, SelectItem, Text } from "@tremor/react";
+import React, { useState } from "react";
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+import { Team } from "@/components/key_team_helpers/key_list";
+
+interface FilterByContentProps {
+  setSelectedAPIKey: (key: any) => void;
+  keys: any[] | null;
+  teams: Team[] | null;
+  setSelectedCustomer: (customer: string | null) => void;
+  allEndUsers: any[];
+}
+
+const FilterByContent = ({
+  setSelectedAPIKey,
+  keys,
+  teams,
+  setSelectedCustomer,
+  allEndUsers,
+}: FilterByContentProps) => {
+  const { premiumUser } = useAuthorized();
+
+  const [selectedTeamFilter, setSelectedTeamFilter] = useState<string | null>(null);
+
+  return (
+    <div>
+      <Text className="mb-1">Select API Key Name</Text>
+
+      {premiumUser ? (
+        <div>
+          <Select defaultValue="all-keys">
+            <SelectItem
+              key="all-keys"
+              value="all-keys"
+              onClick={() => {
+                setSelectedAPIKey(null);
+              }}
+            >
+              All Keys
+            </SelectItem>
+            {keys?.map((key: any, index: number) => {
+              if (key && key["key_alias"] !== null && key["key_alias"].length > 0) {
+                return (
+                  <SelectItem
+                    key={index}
+                    value={String(index)}
+                    onClick={() => {
+                      setSelectedAPIKey(key);
+                    }}
+                  >
+                    {key["key_alias"]}
+                  </SelectItem>
+                );
+              }
+              return null;
+            })}
+          </Select>
+
+          <Text className="mt-1">Select Customer Name</Text>
+
+          <Select defaultValue="all-customers">
+            <SelectItem
+              key="all-customers"
+              value="all-customers"
+              onClick={() => {
+                setSelectedCustomer(null);
+              }}
+            >
+              All Customers
+            </SelectItem>
+            {allEndUsers?.map((user: any, index: number) => {
+              return (
+                <SelectItem
+                  key={index}
+                  value={user}
+                  onClick={() => {
+                    setSelectedCustomer(user);
+                  }}
+                >
+                  {user}
+                </SelectItem>
+              );
+            })}
+          </Select>
+
+          <Text className="mt-1">Select Team</Text>
+
+          <Select
+            className="w-64 relative z-50"
+            defaultValue="all"
+            value={selectedTeamFilter ?? "all"}
+            onValueChange={(value) => setSelectedTeamFilter(value === "all" ? null : value)}
+          >
+            <SelectItem value="all">All Teams</SelectItem>
+            {teams
+              ?.filter((team) => team.team_id)
+              .map((team) => (
+                <SelectItem key={team.team_id} value={team.team_id}>
+                  {team.team_alias
+                    ? `${team.team_alias} (${team.team_id.slice(0, 8)}...)`
+                    : `Team ${team.team_id.slice(0, 8)}...`}
+                </SelectItem>
+              ))}
+          </Select>
+        </div>
+      ) : (
+        <div>
+          {/* ... existing non-premium user content ... */}
+          <Text className="mt-1">Select Team</Text>
+
+          <Select
+            className="w-64 relative z-50"
+            defaultValue="all"
+            value={selectedTeamFilter ?? "all"}
+            onValueChange={(value) => setSelectedTeamFilter(value === "all" ? null : value)}
+          >
+            <SelectItem value="all">All Teams</SelectItem>
+            {teams
+              ?.filter((team) => team.team_id)
+              .map((team) => (
+                <SelectItem key={team.team_id} value={team.team_id}>
+                  {team.team_alias
+                    ? `${team.team_alias} (${team.team_id.slice(0, 8)}...)`
+                    : `Team ${team.team_id.slice(0, 8)}...`}
+                </SelectItem>
+              ))}
+          </Select>
+        </div>
+      )}
+    </div>
+  );
+};
+
+export default FilterByContent;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/ModelAnalyticsTab.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/ModelAnalyticsTab.tsx
new file mode 100644
index 0000000000..b263d5322e
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/ModelAnalyticsTab.tsx
@@ -0,0 +1,469 @@
+import {
+  AreaChart,
+  BarChart,
+  Button,
+  Card,
+  Col,
+  DateRangePickerValue,
+  Grid,
+  Select,
+  SelectItem,
+  Subtitle,
+  Tab,
+  TabGroup,
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeaderCell,
+  TableRow,
+  TabList,
+  TabPanel,
+  TabPanels,
+  Text,
+  Title,
+} from "@tremor/react";
+import UsageDatePicker from "@/components/shared/usage_date_picker";
+import { Popover } from "antd";
+import { FilterIcon } from "@heroicons/react/outline";
+import TimeToFirstToken from "@/components/model_metrics/time_to_first_token";
+import React, { useEffect } from "react";
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+import { Team } from "@/components/key_team_helpers/key_list";
+import {
+  adminGlobalActivityExceptions,
+  adminGlobalActivityExceptionsPerDeployment,
+  modelExceptionsCall,
+  modelMetricsCall,
+  modelMetricsSlowResponsesCall,
+  streamingModelMetricsCall,
+} from "@/components/networking";
+import FilterByContent from "@/app/(dashboard)/models-and-endpoints/components/ModelAnalyticsTab/FilterByContent";
+
+interface GlobalExceptionActivityData {
+  sum_num_rate_limit_exceptions: number;
+  daily_data: { date: string; num_rate_limit_exceptions: number }[];
+}
+
+interface ModelAnalyticsTabProps {
+  dateValue: DateRangePickerValue;
+  setDateValue: (dateValue: DateRangePickerValue) => void;
+  selectedModelGroup: string | null;
+  availableModelGroups: string[];
+  setShowAdvancedFilters: (showAdvancedFilters: boolean) => void;
+  modelMetrics: any[];
+  modelMetricsCategories: any[];
+  streamingModelMetrics: any[];
+  streamingModelMetricsCategories: any[];
+  customTooltip: any;
+  slowResponsesData: any[];
+  modelExceptions: any[];
+  globalExceptionData: GlobalExceptionActivityData;
+  allExceptions: any[];
+  globalExceptionPerDeployment: any[];
+  setSelectedAPIKey: (key: string | null) => void;
+  keys: any[] | null;
+  setSelectedCustomer: (selectedCustomer: string | null) => void;
+  teams: Team[] | null;
+  allEndUsers: any[];
+  selectedAPIKey: any;
+  selectedCustomer: string | null;
+  selectedTeam: string | null;
+  setSelectedModelGroup: (selectedModelGroup: string | null) => void;
+  setModelMetrics: (metrics: any) => void;
+  setModelMetricsCategories: (categories: any) => void;
+  setStreamingModelMetrics: (metrics: any) => void;
+  setStreamingModelMetricsCategories: (categories: any) => void;
+  setSlowResponsesData: (data: any) => void;
+  setModelExceptions: (exceptions: any) => void;
+  setAllExceptions: (exceptions: any) => void;
+  setGlobalExceptionData: (data: any) => void;
+  setGlobalExceptionPerDeployment: (data: any) => void;
+}
+
+const ModelAnalyticsTab = ({
+  dateValue,
+  setDateValue,
+  selectedModelGroup,
+  availableModelGroups,
+  setShowAdvancedFilters,
+  modelMetrics,
+  modelMetricsCategories,
+  streamingModelMetrics,
+  streamingModelMetricsCategories,
+  customTooltip,
+  slowResponsesData,
+  modelExceptions,
+  globalExceptionData,
+  allExceptions,
+  globalExceptionPerDeployment,
+  setSelectedAPIKey,
+  keys,
+  setSelectedCustomer,
+  teams,
+  allEndUsers,
+  selectedAPIKey,
+  selectedCustomer,
+  selectedTeam,
+  setSelectedModelGroup,
+  setModelMetrics,
+  setModelMetricsCategories,
+  setStreamingModelMetrics,
+  setStreamingModelMetricsCategories,
+  setSlowResponsesData,
+  setModelExceptions,
+  setAllExceptions,
+  setGlobalExceptionData,
+  setGlobalExceptionPerDeployment,
+}: ModelAnalyticsTabProps) => {
+  const { accessToken, userId, userRole, premiumUser } = useAuthorized();
+
+  useEffect(() => {
+    updateModelMetrics(selectedModelGroup, dateValue.from, dateValue.to);
+  }, [selectedAPIKey, selectedCustomer, selectedTeam]);
+
+  const updateModelMetrics = async (
+    modelGroup: string | null,
+    startTime: Date | undefined,
+    endTime: Date | undefined,
+  ) => {
+    console.log("Updating model metrics for group:", modelGroup);
+    if (!accessToken || !userId || !userRole || !startTime || !endTime) {
+      return;
+    }
+    console.log("inside updateModelMetrics - startTime:", startTime, "endTime:", endTime);
+    setSelectedModelGroup(modelGroup);
+
+    let selected_token = selectedAPIKey?.token;
+    if (selected_token === undefined) {
+      selected_token = null;
+    }
+
+    let selected_customer = selectedCustomer;
+    if (selected_customer === undefined) {
+      selected_customer = null;
+    }
+
+    try {
+      const modelMetricsResponse = await modelMetricsCall(
+        accessToken,
+        userId,
+        userRole,
+        modelGroup,
+        startTime.toISOString(),
+        endTime.toISOString(),
+        selected_token,
+        selected_customer,
+      );
+      console.log("Model metrics response:", modelMetricsResponse);
+
+      // Assuming modelMetricsResponse now contains the metric data for the specified model group
+      setModelMetrics(modelMetricsResponse.data);
+      setModelMetricsCategories(modelMetricsResponse.all_api_bases);
+
+      const streamingModelMetricsResponse = await streamingModelMetricsCall(
+        accessToken,
+        modelGroup,
+        startTime.toISOString(),
+        endTime.toISOString(),
+      );
+
+      // Assuming modelMetricsResponse now contains the metric data for the specified model group
+      setStreamingModelMetrics(streamingModelMetricsResponse.data);
+      setStreamingModelMetricsCategories(streamingModelMetricsResponse.all_api_bases);
+
+      const modelExceptionsResponse = await modelExceptionsCall(
+        accessToken,
+        userId,
+        userRole,
+        modelGroup,
+        startTime.toISOString(),
+        endTime.toISOString(),
+        selected_token,
+        selected_customer,
+      );
+      console.log("Model exceptions response:", modelExceptionsResponse);
+      setModelExceptions(modelExceptionsResponse.data);
+      setAllExceptions(modelExceptionsResponse.exception_types);
+
+      const slowResponses = await modelMetricsSlowResponsesCall(
+        accessToken,
+        userId,
+        userRole,
+        modelGroup,
+        startTime.toISOString(),
+        endTime.toISOString(),
+        selected_token,
+        selected_customer,
+      );
+
+      console.log("slowResponses:", slowResponses);
+
+      setSlowResponsesData(slowResponses);
+
+      if (modelGroup) {
+        const dailyExceptions = await adminGlobalActivityExceptions(
+          accessToken,
+          startTime?.toISOString().split("T")[0],
+          endTime?.toISOString().split("T")[0],
+          modelGroup,
+        );
+
+        setGlobalExceptionData(dailyExceptions);
+
+        const dailyExceptionsPerDeplyment = await adminGlobalActivityExceptionsPerDeployment(
+          accessToken,
+          startTime?.toISOString().split("T")[0],
+          endTime?.toISOString().split("T")[0],
+          modelGroup,
+        );
+
+        setGlobalExceptionPerDeployment(dailyExceptionsPerDeplyment);
+      }
+    } catch (error) {
+      console.error("Failed to fetch model metrics", error);
+    }
+  };
+
+  return (
+    <TabPanel>
+      <Grid numItems={4} className="mt-2 mb-2">
+        <Col>
+          <UsageDatePicker
+            value={dateValue}
+            className="mr-2"
+            onValueChange={(value) => {
+              setDateValue(value);
+              updateModelMetrics(selectedModelGroup, value.from, value.to);
+            }}
+          />
+        </Col>
+        <Col className="ml-2">
+          <Text>Select Model Group</Text>
+          <Select
+            defaultValue={selectedModelGroup ? selectedModelGroup : availableModelGroups[0]}
+            value={selectedModelGroup ? selectedModelGroup : availableModelGroups[0]}
+          >
+            {availableModelGroups.map((group, idx) => (
+              <SelectItem
+                key={idx}
+                value={group}
+                onClick={() => updateModelMetrics(group, dateValue.from, dateValue.to)}
+              >
+                {group}
+              </SelectItem>
+            ))}
+          </Select>
+        </Col>
+        <Col>
+          <Popover
+            trigger="click"
+            content={
+              <FilterByContent
+                allEndUsers={allEndUsers}
+                keys={keys}
+                setSelectedAPIKey={setSelectedAPIKey}
+                setSelectedCustomer={setSelectedCustomer}
+                teams={teams}
+              />
+            }
+            overlayStyle={{
+              width: "20vw",
+            }}
+          >
+            <Button
+              icon={FilterIcon}
+              size="md"
+              variant="secondary"
+              className="mt-4 ml-2"
+              style={{
+                border: "none",
+              }}
+              onClick={() => setShowAdvancedFilters(true)}
+            ></Button>
+          </Popover>
+        </Col>
+      </Grid>
+
+      <Grid numItems={2}>
+        <Col>
+          <Card className="mr-2 max-h-[400px] min-h-[400px]">
+            <TabGroup>
+              <TabList variant="line" defaultValue="1">
+                <Tab value="1">Avg. Latency per Token</Tab>
+                <Tab value="2">Time to first token</Tab>
+              </TabList>
+              <TabPanels>
+                <TabPanel>
+                  <p className="text-gray-500 italic"> (seconds/token)</p>
+                  <Text className="text-gray-500 italic mt-1 mb-1">
+                    average Latency for successfull requests divided by the total tokens
+                  </Text>
+                  {modelMetrics && modelMetricsCategories && (
+                    <AreaChart
+                      title="Model Latency"
+                      className="h-72"
+                      data={modelMetrics}
+                      showLegend={false}
+                      index="date"
+                      categories={modelMetricsCategories}
+                      connectNulls={true}
+                      customTooltip={customTooltip}
+                    />
+                  )}
+                </TabPanel>
+                <TabPanel>
+                  <TimeToFirstToken
+                    modelMetrics={streamingModelMetrics}
+                    modelMetricsCategories={streamingModelMetricsCategories}
+                    customTooltip={customTooltip}
+                    premiumUser={premiumUser}
+                  />
+                </TabPanel>
+              </TabPanels>
+            </TabGroup>
+          </Card>
+        </Col>
+        <Col>
+          <Card className="ml-2 max-h-[400px] min-h-[400px]  overflow-y-auto">
+            <Table>
+              <TableHead>
+                <TableRow>
+                  <TableHeaderCell>Deployment</TableHeaderCell>
+                  <TableHeaderCell>Success Responses</TableHeaderCell>
+                  <TableHeaderCell>
+                    Slow Responses <p>Success Responses taking 600+s</p>
+                  </TableHeaderCell>
+                </TableRow>
+              </TableHead>
+              <TableBody>
+                {slowResponsesData.map((metric, idx) => (
+                  <TableRow key={idx}>
+                    <TableCell>{metric.api_base}</TableCell>
+                    <TableCell>{metric.total_count}</TableCell>
+                    <TableCell>{metric.slow_count}</TableCell>
+                  </TableRow>
+                ))}
+              </TableBody>
+            </Table>
+          </Card>
+        </Col>
+      </Grid>
+      <Grid numItems={1} className="gap-2 w-full mt-2">
+        <Card>
+          <Title>All Exceptions for {selectedModelGroup}</Title>
+
+          <BarChart
+            className="h-60"
+            data={modelExceptions}
+            index="model"
+            categories={allExceptions}
+            stack={true}
+            yAxisWidth={30}
+          />
+        </Card>
+      </Grid>
+
+      <Grid numItems={1} className="gap-2 w-full mt-2">
+        <Card>
+          <Title>All Up Rate Limit Errors (429) for {selectedModelGroup}</Title>
+          <Grid numItems={1}>
+            <Col>
+              <Subtitle
+                style={{
+                  fontSize: "15px",
+                  fontWeight: "normal",
+                  color: "#535452",
+                }}
+              >
+                Num Rate Limit Errors {globalExceptionData.sum_num_rate_limit_exceptions}
+              </Subtitle>
+              <BarChart
+                className="h-40"
+                data={globalExceptionData.daily_data}
+                index="date"
+                colors={["rose"]}
+                categories={["num_rate_limit_exceptions"]}
+                onValueChange={(v) => console.log(v)}
+              />
+            </Col>
+            <Col></Col>
+          </Grid>
+        </Card>
+
+        {premiumUser ? (
+          <>
+            {globalExceptionPerDeployment.map((globalActivity, index) => (
+              <Card key={index}>
+                <Title>{globalActivity.api_base ? globalActivity.api_base : "Unknown API Base"}</Title>
+                <Grid numItems={1}>
+                  <Col>
+                    <Subtitle
+                      style={{
+                        fontSize: "15px",
+                        fontWeight: "normal",
+                        color: "#535452",
+                      }}
+                    >
+                      Num Rate Limit Errors (429) {globalActivity.sum_num_rate_limit_exceptions}
+                    </Subtitle>
+                    <BarChart
+                      className="h-40"
+                      data={globalActivity.daily_data}
+                      index="date"
+                      colors={["rose"]}
+                      categories={["num_rate_limit_exceptions"]}
+                      onValueChange={(v) => console.log(v)}
+                    />
+                  </Col>
+                </Grid>
+              </Card>
+            ))}
+          </>
+        ) : (
+          <>
+            {globalExceptionPerDeployment &&
+              globalExceptionPerDeployment.length > 0 &&
+              globalExceptionPerDeployment.slice(0, 1).map((globalActivity, index) => (
+                <Card key={index}>
+                  <Title>✨ Rate Limit Errors by Deployment</Title>
+                  <p className="mb-2 text-gray-500 italic text-[12px]">Upgrade to see exceptions for all deployments</p>
+                  <Button variant="primary" className="mb-2">
+                    <a href="https://forms.gle/W3U4PZpJGFHWtHyA9" target="_blank">
+                      Get Free Trial
+                    </a>
+                  </Button>
+                  <Card>
+                    <Title>{globalActivity.api_base}</Title>
+                    <Grid numItems={1}>
+                      <Col>
+                        <Subtitle
+                          style={{
+                            fontSize: "15px",
+                            fontWeight: "normal",
+                            color: "#535452",
+                          }}
+                        >
+                          Num Rate Limit Errors {globalActivity.sum_num_rate_limit_exceptions}
+                        </Subtitle>
+                        <BarChart
+                          className="h-40"
+                          data={globalActivity.daily_data}
+                          index="date"
+                          colors={["rose"]}
+                          categories={["num_rate_limit_exceptions"]}
+                          onValueChange={(v) => console.log(v)}
+                        />
+                      </Col>
+                    </Grid>
+                  </Card>
+                </Card>
+              ))}
+          </>
+        )}
+      </Grid>
+    </TabPanel>
+  );
+};
+
+export default ModelAnalyticsTab;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelRetrySettingsTab.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelRetrySettingsTab.tsx
new file mode 100644
index 0000000000..753aeedce5
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/ModelRetrySettingsTab.tsx
@@ -0,0 +1,154 @@
+import { Button, Select, SelectItem, TabPanel, Text, Title } from "@tremor/react";
+import { InputNumber } from "antd";
+import React from "react";
+
+interface GlobalRetryPolicyObject {
+  [retryPolicyKey: string]: number;
+}
+
+interface RetryPolicyObject {
+  [key: string]: { [retryPolicyKey: string]: number } | undefined;
+}
+
+interface ModelRetrySettingsTabProps {
+  selectedModelGroup: string | null;
+  setSelectedModelGroup: (selectedModelGroup: string | null) => void;
+  availableModelGroups: string[];
+  globalRetryPolicy: GlobalRetryPolicyObject | null;
+  setGlobalRetryPolicy: React.Dispatch<React.SetStateAction<GlobalRetryPolicyObject | null>>;
+  defaultRetry: number;
+  modelGroupRetryPolicy: RetryPolicyObject | null;
+  setModelGroupRetryPolicy: React.Dispatch<React.SetStateAction<RetryPolicyObject | null>>;
+  handleSaveRetrySettings: () => void;
+}
+
+const retryPolicyMap: Record<string, string> = {
+  "BadRequestError (400)": "BadRequestErrorRetries",
+  "AuthenticationError  (401)": "AuthenticationErrorRetries",
+  "TimeoutError (408)": "TimeoutErrorRetries",
+  "RateLimitError (429)": "RateLimitErrorRetries",
+  "ContentPolicyViolationError (400)": "ContentPolicyViolationErrorRetries",
+  "InternalServerError (500)": "InternalServerErrorRetries",
+};
+
+const ModelRetrySettingsTab = ({
+  selectedModelGroup,
+  setSelectedModelGroup,
+  availableModelGroups,
+  globalRetryPolicy,
+  setGlobalRetryPolicy,
+  defaultRetry,
+  modelGroupRetryPolicy,
+  setModelGroupRetryPolicy,
+  handleSaveRetrySettings,
+}: ModelRetrySettingsTabProps) => {
+  //  const [modelGroupRetryPolicy, setModelGroupRetryPolicy] = useState<RetryPolicyObject | null>(null);
+
+  return (
+    <TabPanel>
+      <div className="flex items-center gap-4 mb-6">
+        <div className="flex items-center">
+          <Text>Retry Policy Scope:</Text>
+          <Select
+            className="ml-2 w-48"
+            defaultValue="global"
+            value={selectedModelGroup === "global" ? "global" : selectedModelGroup || availableModelGroups[0]}
+            onValueChange={(value) => setSelectedModelGroup(value)}
+          >
+            <SelectItem value="global">Global Default</SelectItem>
+            {availableModelGroups.map((group, idx) => (
+              <SelectItem key={idx} value={group} onClick={() => setSelectedModelGroup(group)}>
+                {group}
+              </SelectItem>
+            ))}
+          </Select>
+        </div>
+      </div>
+
+      {selectedModelGroup === "global" ? (
+        <>
+          <Title>Global Retry Policy</Title>
+          <Text className="mb-6">Default retry settings applied to all model groups unless overridden</Text>
+        </>
+      ) : (
+        <>
+          <Title>Retry Policy for {selectedModelGroup}</Title>
+          <Text className="mb-6">Model-specific retry settings. Falls back to global defaults if not set.</Text>
+        </>
+      )}
+      {retryPolicyMap && (
+        <table>
+          <tbody>
+            {Object.entries(retryPolicyMap).map(([exceptionType, retryPolicyKey], idx) => {
+              let retryCount: number;
+
+              if (selectedModelGroup === "global") {
+                // Show global policy values
+                retryCount = globalRetryPolicy?.[retryPolicyKey] ?? defaultRetry;
+              } else {
+                // Show model-group specific values with fallback to global
+                const modelSpecificCount = modelGroupRetryPolicy?.[selectedModelGroup!]?.[retryPolicyKey];
+                if (modelSpecificCount != null) {
+                  retryCount = modelSpecificCount;
+                } else {
+                  // Fall back to global policy, then default
+                  retryCount = globalRetryPolicy?.[retryPolicyKey] ?? defaultRetry;
+                }
+              }
+
+              return (
+                <tr key={idx} className="flex justify-between items-center mt-2">
+                  <td>
+                    <Text>{exceptionType}</Text>
+                    {selectedModelGroup !== "global" && (
+                      <Text className="text-xs text-gray-500 ml-2">
+                        (Global: {globalRetryPolicy?.[retryPolicyKey] ?? defaultRetry})
+                      </Text>
+                    )}
+                  </td>
+                  <td>
+                    <InputNumber
+                      className="ml-5"
+                      value={retryCount}
+                      min={0}
+                      step={1}
+                      onChange={(value) => {
+                        if (selectedModelGroup === "global") {
+                          // Update global policy
+                          setGlobalRetryPolicy((prevGlobalRetryPolicy) => {
+                            if (value == null) return prevGlobalRetryPolicy;
+                            return {
+                              ...(prevGlobalRetryPolicy ?? {}),
+                              [retryPolicyKey]: value,
+                            };
+                          });
+                        } else {
+                          // Update model-group specific policy
+                          setModelGroupRetryPolicy((prevModelGroupRetryPolicy) => {
+                            const prevRetryPolicy = prevModelGroupRetryPolicy?.[selectedModelGroup!] ?? {};
+                            return {
+                              ...(prevModelGroupRetryPolicy ?? {}),
+                              [selectedModelGroup!]: {
+                                ...prevRetryPolicy,
+                                [retryPolicyKey!]: value,
+                              },
+                            } as RetryPolicyObject;
+                          });
+                        }
+                      }}
+                    />
+                  </td>
+                </tr>
+              );
+            })}
+          </tbody>
+        </table>
+      )}
+      <Button className="mt-6 mr-8" onClick={handleSaveRetrySettings}>
+        Save
+      </Button>
+    </TabPanel>
+  );
+};
+
+export default ModelRetrySettingsTab;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/PriceDataManagementTab.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/PriceDataManagementTab.tsx
new file mode 100644
index 0000000000..6edb6c5b44
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/components/PriceDataManagementTab.tsx
@@ -0,0 +1,43 @@
+import { TabPanel, Text, Title } from "@tremor/react";
+import PriceDataReload from "@/components/price_data_reload";
+import { modelCostMap } from "@/components/networking";
+import React from "react";
+import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
+
+interface PriceDataManagementPanelProps {
+  setModelMap: (data: any) => void;
+}
+
+const PriceDataManagementTab = ({ setModelMap }: PriceDataManagementPanelProps) => {
+  const { accessToken } = useAuthorized();
+
+  return (
+    <TabPanel>
+      <div className="p-6">
+        <div className="mb-6">
+          <Title>Price Data Management</Title>
+          <Text className="text-tremor-content">
+            Manage model pricing data and configure automatic reload schedules
+          </Text>
+        </div>
+        <PriceDataReload
+          accessToken={accessToken}
+          onReloadSuccess={() => {
+            // Refresh the model map after successful reload
+            const fetchModelMap = async () => {
+              const data = await modelCostMap(accessToken);
+              setModelMap(data);
+            };
+            fetchModelMap();
+          }}
+          buttonText="Reload Price Data"
+          size="middle"
+          type="primary"
+          className="w-full"
+        />
+      </div>
+    </TabPanel>
+  );
+};
+
+export default PriceDataManagementTab;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/page.tsx b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/page.tsx
index b661e4de3e..01dd97505c 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/page.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/models-and-endpoints/page.tsx
@@ -1,9 +1,9 @@
 "use client";
 
-import ModelDashboard from "@/components/templates/model_dashboard";
 import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
 import useTeams from "@/app/(dashboard)/hooks/useTeams";
 import { useState } from "react";
+import ModelsAndEndpointsView from "@/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView";
 
 const ModelsAndEndpointsPage = () => {
   const { token, accessToken, userRole, userId, premiumUser } = useAuthorized();
@@ -12,7 +12,7 @@ const ModelsAndEndpointsPage = () => {
   const { teams } = useTeams();
 
   return (
-    <ModelDashboard
+    <ModelsAndEndpointsView
       accessToken={accessToken}
       token={token}
       userRole={userRole}
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/settings/admin-settings/page.tsx b/ui/litellm-dashboard/src/app/(dashboard)/settings/admin-settings/page.tsx
index c99242f0c3..be2551f670 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/settings/admin-settings/page.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/settings/admin-settings/page.tsx
@@ -3,7 +3,6 @@
 import AdminPanel from "@/components/admins";
 import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
 import { useState } from "react";
-import { Team } from "@/components/key_team_helpers/key_list";
 import useTeams from "@/app/(dashboard)/hooks/useTeams";
 
 const AdminSettings = () => {
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx b/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx
index 4e8b3286c8..6e972a97e7 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/teams/components/TeamsTable/TeamsTable.tsx
@@ -1,5 +1,4 @@
 import {
-  Badge,
   Button,
   Icon,
   Table,
@@ -12,9 +11,8 @@ import {
 } from "@tremor/react";
 import { Tooltip } from "antd";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
-import { ChevronDownIcon, ChevronRightIcon, PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
-import { getModelDisplayName } from "@/components/key_team_helpers/fetch_available_models_team_key";
-import React, { useState } from "react";
+import { PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
+import React from "react";
 import { type KeyResponse, Team } from "@/components/key_team_helpers/key_list";
 import { Member, Organization } from "@/components/networking";
 import ModelsCell from "@/app/(dashboard)/teams/components/TeamsTable/ModelsCell";
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/virtual-keys/page.tsx b/ui/litellm-dashboard/src/app/(dashboard)/virtual-keys/page.tsx
index 56f780b296..856f552e93 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/virtual-keys/page.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/virtual-keys/page.tsx
@@ -1,7 +1,7 @@
 "use client";
 
 import { useState } from "react";
-import useKeyList, { KeyResponse } from "@/components/key_team_helpers/key_list";
+import useKeyList from "@/components/key_team_helpers/key_list";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized";
 import UserDashboard from "@/components/user_dashboard";
diff --git a/ui/litellm-dashboard/src/app/model_hub/page.tsx b/ui/litellm-dashboard/src/app/model_hub/page.tsx
index 265fe485ec..d42f8576eb 100644
--- a/ui/litellm-dashboard/src/app/model_hub/page.tsx
+++ b/ui/litellm-dashboard/src/app/model_hub/page.tsx
@@ -1,7 +1,6 @@
 "use client";
-import React, { Suspense, useEffect, useState } from "react";
+import React, { useEffect, useState } from "react";
 import { useSearchParams } from "next/navigation";
-import { modelHubCall } from "@/components/networking";
 import PublicModelHubPage from "@/components/public_model_hub";
 
 export default function PublicModelHub() {
diff --git a/ui/litellm-dashboard/src/app/model_hub_table/page.tsx b/ui/litellm-dashboard/src/app/model_hub_table/page.tsx
index d10f11d61b..fb83f28fc1 100644
--- a/ui/litellm-dashboard/src/app/model_hub_table/page.tsx
+++ b/ui/litellm-dashboard/src/app/model_hub_table/page.tsx
@@ -1,7 +1,6 @@
 "use client";
-import React, { Suspense, useEffect, useState } from "react";
+import React, { useEffect, useState } from "react";
 import { useSearchParams } from "next/navigation";
-import { modelHubCall } from "@/components/networking";
 import ModelHubTable from "@/components/model_hub_table";
 
 export default function PublicModelHubTable() {
diff --git a/ui/litellm-dashboard/src/app/onboarding/page.tsx b/ui/litellm-dashboard/src/app/onboarding/page.tsx
index f37d69f798..b748446ca9 100644
--- a/ui/litellm-dashboard/src/app/onboarding/page.tsx
+++ b/ui/litellm-dashboard/src/app/onboarding/page.tsx
@@ -1,18 +1,16 @@
 "use client";
-import React, { Suspense, useEffect, useState } from "react";
+import React, { useEffect, useState } from "react";
 import { useSearchParams } from "next/navigation";
 import { Card, Title, Text, TextInput, Callout, Button, Grid, Col } from "@tremor/react";
-import { RiAlarmWarningLine, RiCheckboxCircleLine } from "@remixicon/react";
+import { RiCheckboxCircleLine } from "@remixicon/react";
 import {
-  invitationClaimCall,
-  userUpdateUserCall,
   getOnboardingCredentials,
   claimOnboardingToken,
   getUiConfig,
   getProxyBaseUrl,
 } from "@/components/networking";
 import { jwtDecode } from "jwt-decode";
-import { Form, Button as Button2, message } from "antd";
+import { Form, Button as Button2 } from "antd";
 import { getCookie } from "@/utils/cookieUtils";
 
 export default function Onboarding() {
diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx
index 263e218c18..32996fea76 100644
--- a/ui/litellm-dashboard/src/app/page.tsx
+++ b/ui/litellm-dashboard/src/app/page.tsx
@@ -8,9 +8,8 @@ import { Team } from "@/components/key_team_helpers/key_list";
 import Navbar from "@/components/navbar";
 import { ThemeProvider } from "@/contexts/ThemeContext";
 import UserDashboard from "@/components/user_dashboard";
-import ModelDashboard from "@/components/templates/model_dashboard";
+import OldModelDashboard from "@/app/(dashboard)/models-and-endpoints/ModelsAndEndpointsView";
 import ViewUserDashboard from "@/components/view_users";
-import TeamsView from "@/app/(dashboard)/teams/TeamsView";
 import Organizations from "@/components/organizations";
 import { fetchOrganizations } from "@/components/organizations";
 import AdminPanel from "@/components/admins";
@@ -21,7 +20,7 @@ import BudgetPanel from "@/components/budgets/budget_panel";
 import SpendLogsTable from "@/components/view_logs";
 import ModelHubTable from "@/components/model_hub_table";
 import NewUsagePage from "@/components/new_usage";
-import APIRef from "@/components/api_ref";
+import APIReferenceView from "@/app/(dashboard)/api-reference/APIReferenceView";
 import ChatUI from "@/components/chat_ui/ChatUI";
 import Usage from "@/components/usage";
 import CacheDashboard from "@/components/cache_dashboard";
@@ -40,6 +39,7 @@ import { UiLoadingSpinner } from "@/components/ui/ui-loading-spinner";
 import { cx } from "@/lib/cva.config";
 import useFeatureFlags from "@/hooks/useFeatureFlags";
 import SidebarProvider from "@/app/(dashboard)/components/SidebarProvider";
+import OldTeams from "@/components/OldTeams";
 
 function getCookie(name: string) {
   // Safer cookie read + decoding; handles '=' inside values
@@ -346,7 +346,7 @@ export default function CreateKeyPage() {
                     createClicked={createClicked}
                   />
                 ) : page == "models" ? (
-                  <ModelDashboard
+                  <OldModelDashboard
                     userID={userID}
                     userRole={userRole}
                     token={token}
@@ -376,7 +376,7 @@ export default function CreateKeyPage() {
                     setKeys={setKeys}
                   />
                 ) : page == "teams" ? (
-                  <TeamsView
+                  <OldTeams
                     teams={teams}
                     setTeams={setTeams}
                     accessToken={accessToken}
@@ -384,6 +384,7 @@ export default function CreateKeyPage() {
                     userRole={userRole}
                     organizations={organizations}
                     premiumUser={premiumUser}
+                    searchParams={searchParams}
                   />
                 ) : page == "organizations" ? (
                   <Organizations
@@ -405,7 +406,7 @@ export default function CreateKeyPage() {
                     proxySettings={proxySettings}
                   />
                 ) : page == "api_ref" ? (
-                  <APIRef proxySettings={proxySettings} />
+                  <APIReferenceView proxySettings={proxySettings} />
                 ) : page == "settings" ? (
                   <Settings userID={userID} userRole={userRole} accessToken={accessToken} premiumUser={premiumUser} />
                 ) : page == "budgets" ? (
diff --git a/ui/litellm-dashboard/src/components/OldTeams.tsx b/ui/litellm-dashboard/src/components/OldTeams.tsx
new file mode 100644
index 0000000000..707e493f72
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/OldTeams.tsx
@@ -0,0 +1,1345 @@
+import React, { useState, useEffect } from "react";
+import { Typography } from "antd";
+import {
+  teamDeleteCall,
+  Organization,
+  fetchMCPAccessGroups,
+} from "./networking";
+import { fetchTeams } from "./common_components/fetch_teams";
+import {
+  PencilAltIcon,
+  RefreshIcon,
+  TrashIcon,
+  ChevronDownIcon,
+  ChevronRightIcon,
+} from "@heroicons/react/outline";
+import { Button as Button2, Modal, Form, Input, Select as Select2, Tooltip } from "antd";
+import NumericalInput from "./shared/numerical_input";
+import {
+  fetchAvailableModelsForTeamOrKey,
+  getModelDisplayName,
+  unfurlWildcardModelsInList,
+} from "./key_team_helpers/fetch_available_models_team_key";
+import { Select, SelectItem } from "@tremor/react";
+import { InfoCircleOutlined } from "@ant-design/icons";
+import { getGuardrailsList } from "./networking";
+import TeamInfoView from "@/components/team/team_info";
+import TeamSSOSettings from "@/components/TeamSSOSettings";
+import { isAdminRole } from "@/utils/roles";
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeaderCell,
+  TableRow,
+  TextInput,
+  Card,
+  Icon,
+  Button,
+  Badge,
+  Col,
+  Text,
+  Grid,
+  Accordion,
+  AccordionHeader,
+  AccordionBody,
+  TabGroup,
+  TabList,
+  TabPanel,
+  TabPanels,
+  Tab,
+} from "@tremor/react";
+import AvailableTeamsPanel from "@/components/team/available_teams";
+import VectorStoreSelector from "./vector_store_management/VectorStoreSelector";
+import PremiumLoggingSettings from "./common_components/PremiumLoggingSettings";
+import type { KeyResponse, Team } from "./key_team_helpers/key_list";
+import { formatNumberWithCommas } from "../utils/dataUtils";
+import { AlertTriangleIcon, XIcon } from "lucide-react";
+import MCPServerSelector from "./mcp_server_management/MCPServerSelector";
+import MCPToolPermissions from "./mcp_server_management/MCPToolPermissions";
+import ModelAliasManager from "./common_components/ModelAliasManager";
+import NotificationsManager from "./molecules/notifications_manager";
+
+interface TeamProps {
+  teams: Team[] | null;
+  searchParams: any;
+  accessToken: string | null;
+  setTeams: React.Dispatch<React.SetStateAction<Team[] | null>>;
+  userID: string | null;
+  userRole: string | null;
+  organizations: Organization[] | null;
+  premiumUser?: boolean;
+}
+
+interface FilterState {
+  team_id: string;
+  team_alias: string;
+  organization_id: string;
+  sort_by: string;
+  sort_order: "asc" | "desc";
+}
+
+interface EditTeamModalProps {
+  visible: boolean;
+  onCancel: () => void;
+  team: any; // Assuming TeamType is a type representing your team object
+  onSubmit: (data: FormData) => void; // Assuming FormData is the type of data to be submitted
+}
+
+import {
+  teamCreateCall,
+  Member,
+  v2TeamListCall,
+} from "./networking";
+import { updateExistingKeys } from "@/utils/dataUtils";
+
+interface TeamInfo {
+  members_with_roles: Member[];
+}
+
+interface PerTeamInfo {
+  keys: KeyResponse[];
+  team_info: TeamInfo;
+}
+
+const getOrganizationModels = (organization: Organization | null, userModels: string[]) => {
+  let tempModelsToPick = [];
+
+  if (organization) {
+    if (organization.models.length > 0) {
+      console.log(`organization.models: ${organization.models}`);
+      tempModelsToPick = organization.models;
+    } else {
+      // show all available models if the team has no models set
+      tempModelsToPick = userModels;
+    }
+  } else {
+    // no team set, show all available models
+    tempModelsToPick = userModels;
+  }
+
+  return unfurlWildcardModelsInList(tempModelsToPick, userModels);
+};
+
+// @deprecated
+const Teams: React.FC<TeamProps> = ({
+  teams,
+  searchParams,
+  accessToken,
+  setTeams,
+  userID,
+  userRole,
+  organizations,
+  premiumUser = false,
+}) => {
+  const [lastRefreshed, setLastRefreshed] = useState("");
+  const [currentOrg, setCurrentOrg] = useState<Organization | null>(null);
+  const [currentOrgForCreateTeam, setCurrentOrgForCreateTeam] = useState<Organization | null>(null);
+  const [showFilters, setShowFilters] = useState(false);
+  const [filters, setFilters] = useState<FilterState>({
+    team_id: "",
+    team_alias: "",
+    organization_id: "",
+    sort_by: "created_at",
+    sort_order: "desc",
+  });
+
+  useEffect(() => {
+    console.log(`inside useeffect - ${lastRefreshed}`);
+    if (accessToken) {
+      // Call your function here
+      fetchTeams(accessToken, userID, userRole, currentOrg, setTeams);
+    }
+    handleRefreshClick();
+  }, [lastRefreshed]);
+
+  const [form] = Form.useForm();
+  const [memberForm] = Form.useForm();
+  const { Title, Paragraph } = Typography;
+  const [value, setValue] = useState("");
+  const [editModalVisible, setEditModalVisible] = useState(false);
+
+  const [selectedTeam, setSelectedTeam] = useState<null | any>(null);
+  const [selectedTeamId, setSelectedTeamId] = useState<string | null>(null);
+  const [editTeam, setEditTeam] = useState<boolean>(false);
+
+  const [isTeamModalVisible, setIsTeamModalVisible] = useState(false);
+  const [isAddMemberModalVisible, setIsAddMemberModalVisible] = useState(false);
+  const [isEditMemberModalVisible, setIsEditMemberModalVisible] = useState(false);
+  const [userModels, setUserModels] = useState<string[]>([]);
+  const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);
+  const [teamToDelete, setTeamToDelete] = useState<string | null>(null);
+  const [modelsToPick, setModelsToPick] = useState<string[]>([]);
+  const [perTeamInfo, setPerTeamInfo] = useState<Record<string, PerTeamInfo>>({});
+
+  // Add this state near the other useState declarations
+  const [guardrailsList, setGuardrailsList] = useState<string[]>([]);
+  const [expandedAccordions, setExpandedAccordions] = useState<Record<string, boolean>>({});
+  const [loggingSettings, setLoggingSettings] = useState<any[]>([]);
+  const [mcpAccessGroups, setMcpAccessGroups] = useState<string[]>([]);
+  const [mcpAccessGroupsLoaded, setMcpAccessGroupsLoaded] = useState(false);
+  const [deleteConfirmInput, setDeleteConfirmInput] = useState("");
+  const [modelAliases, setModelAliases] = useState<{ [key: string]: string }>({});
+
+  useEffect(() => {
+    console.log(`currentOrgForCreateTeam: ${currentOrgForCreateTeam}`);
+    const models = getOrganizationModels(currentOrgForCreateTeam, userModels);
+    console.log(`models: ${models}`);
+    setModelsToPick(models);
+    form.setFieldValue("models", []);
+  }, [currentOrgForCreateTeam, userModels]);
+
+  // Add this useEffect to fetch guardrails
+  useEffect(() => {
+    const fetchGuardrails = async () => {
+      try {
+        if (accessToken == null) {
+          return;
+        }
+
+        const response = await getGuardrailsList(accessToken);
+        const guardrailNames = response.guardrails.map((g: { guardrail_name: string }) => g.guardrail_name);
+        setGuardrailsList(guardrailNames);
+      } catch (error) {
+        console.error("Failed to fetch guardrails:", error);
+      }
+    };
+
+    fetchGuardrails();
+  }, [accessToken]);
+
+  const fetchMcpAccessGroups = async () => {
+    try {
+      if (accessToken == null) {
+        return;
+      }
+      const groups = await fetchMCPAccessGroups(accessToken);
+      setMcpAccessGroups(groups);
+    } catch (error) {
+      console.error("Failed to fetch MCP access groups:", error);
+    }
+  };
+
+  useEffect(() => {
+    fetchMcpAccessGroups();
+  }, [accessToken]);
+
+  useEffect(() => {
+    const fetchTeamInfo = () => {
+      if (!teams) return;
+
+      const newPerTeamInfo = teams.reduce(
+        (acc, team) => {
+          acc[team.team_id] = {
+            keys: team.keys || [],
+            team_info: {
+              members_with_roles: team.members_with_roles || [],
+            },
+          };
+          return acc;
+        },
+        {} as Record<string, PerTeamInfo>,
+      );
+
+      setPerTeamInfo(newPerTeamInfo);
+    };
+
+    fetchTeamInfo();
+  }, [teams]);
+
+  const handleOk = () => {
+    setIsTeamModalVisible(false);
+    form.resetFields();
+    setLoggingSettings([]);
+    setModelAliases({});
+  };
+
+  const handleMemberOk = () => {
+    setIsAddMemberModalVisible(false);
+    setIsEditMemberModalVisible(false);
+    memberForm.resetFields();
+  };
+
+  const handleCancel = () => {
+    setIsTeamModalVisible(false);
+    form.resetFields();
+    setLoggingSettings([]);
+    setModelAliases({});
+  };
+
+  const handleMemberCancel = () => {
+    setIsAddMemberModalVisible(false);
+    setIsEditMemberModalVisible(false);
+    memberForm.resetFields();
+  };
+
+  const handleDelete = async (team_id: string) => {
+    // Set the team to delete and open the confirmation modal
+    setTeamToDelete(team_id);
+    setIsDeleteModalOpen(true);
+  };
+
+  const confirmDelete = async () => {
+    if (teamToDelete == null || teams == null || accessToken == null) {
+      return;
+    }
+
+    try {
+      await teamDeleteCall(accessToken, teamToDelete);
+      // Successfully completed the deletion. Update the state to trigger a rerender.
+      fetchTeams(accessToken, userID, userRole, currentOrg, setTeams);
+    } catch (error) {
+      console.error("Error deleting the team:", error);
+      // Handle any error situations, such as displaying an error message to the user.
+    }
+
+    // Close the confirmation modal and reset the teamToDelete
+    setIsDeleteModalOpen(false);
+    setTeamToDelete(null);
+  };
+
+  const cancelDelete = () => {
+    // Close the confirmation modal and reset the teamToDelete
+    setIsDeleteModalOpen(false);
+    setTeamToDelete(null);
+  };
+
+  useEffect(() => {
+    const fetchUserModels = async () => {
+      try {
+        if (userID === null || userRole === null || accessToken === null) {
+          return;
+        }
+        const models = await fetchAvailableModelsForTeamOrKey(userID, userRole, accessToken);
+        if (models) {
+          setUserModels(models);
+        }
+      } catch (error) {
+        console.error("Error fetching user models:", error);
+      }
+    };
+
+    fetchUserModels();
+  }, [accessToken, userID, userRole, teams]);
+
+  const handleCreate = async (formValues: Record<string, any>) => {
+    try {
+      console.log(`formValues: ${JSON.stringify(formValues)}`);
+      if (accessToken != null) {
+        const newTeamAlias = formValues?.team_alias;
+        const existingTeamAliases = teams?.map((t) => t.team_alias) ?? [];
+        let organizationId = formValues?.organization_id || currentOrg?.organization_id;
+        if (organizationId === "" || typeof organizationId !== "string") {
+          formValues.organization_id = null;
+        } else {
+          formValues.organization_id = organizationId.trim();
+        }
+
+        // Remove guardrails from top level since it's now in metadata
+        if (existingTeamAliases.includes(newTeamAlias)) {
+          throw new Error(`Team alias ${newTeamAlias} already exists, please pick another alias`);
+        }
+
+        NotificationsManager.info("Creating Team");
+
+        // Handle logging settings in metadata
+        if (loggingSettings.length > 0) {
+          let metadata = {};
+          if (formValues.metadata) {
+            try {
+              metadata = JSON.parse(formValues.metadata);
+            } catch (e) {
+              console.warn("Invalid JSON in metadata field, starting with empty object");
+            }
+          }
+
+          // Add logging settings to metadata
+          metadata = {
+            ...metadata,
+            logging: loggingSettings.filter((config) => config.callback_name), // Only include configs with callback_name
+          };
+
+          formValues.metadata = JSON.stringify(metadata);
+        }
+
+        // Transform allowed_vector_store_ids and allowed_mcp_servers_and_groups into object_permission
+        if (
+          (formValues.allowed_vector_store_ids && formValues.allowed_vector_store_ids.length > 0) ||
+          (formValues.allowed_mcp_servers_and_groups &&
+            (formValues.allowed_mcp_servers_and_groups.servers?.length > 0 ||
+              formValues.allowed_mcp_servers_and_groups.accessGroups?.length > 0 ||
+              formValues.allowed_mcp_servers_and_groups.toolPermissions))
+        ) {
+          formValues.object_permission = {};
+          if (formValues.allowed_vector_store_ids && formValues.allowed_vector_store_ids.length > 0) {
+            formValues.object_permission.vector_stores = formValues.allowed_vector_store_ids;
+            delete formValues.allowed_vector_store_ids;
+          }
+          if (formValues.allowed_mcp_servers_and_groups) {
+            const { servers, accessGroups } = formValues.allowed_mcp_servers_and_groups;
+            if (servers && servers.length > 0) {
+              formValues.object_permission.mcp_servers = servers;
+            }
+            if (accessGroups && accessGroups.length > 0) {
+              formValues.object_permission.mcp_access_groups = accessGroups;
+            }
+            delete formValues.allowed_mcp_servers_and_groups;
+          }
+
+          // Add tool permissions separately
+          if (formValues.mcp_tool_permissions && Object.keys(formValues.mcp_tool_permissions).length > 0) {
+            if (!formValues.object_permission) {
+              formValues.object_permission = {};
+            }
+            formValues.object_permission.mcp_tool_permissions = formValues.mcp_tool_permissions;
+            delete formValues.mcp_tool_permissions;
+          }
+        }
+
+        // Transform allowed_mcp_access_groups into object_permission
+        if (formValues.allowed_mcp_access_groups && formValues.allowed_mcp_access_groups.length > 0) {
+          if (!formValues.object_permission) {
+            formValues.object_permission = {};
+          }
+          formValues.object_permission.mcp_access_groups = formValues.allowed_mcp_access_groups;
+          delete formValues.allowed_mcp_access_groups;
+        }
+
+        // Add model_aliases if any are defined
+        if (Object.keys(modelAliases).length > 0) {
+          formValues.model_aliases = modelAliases;
+        }
+
+        const response: any = await teamCreateCall(accessToken, formValues);
+        if (teams !== null) {
+          setTeams([...teams, response]);
+        } else {
+          setTeams([response]);
+        }
+        console.log(`response for team create call: ${response}`);
+        NotificationsManager.success("Team created");
+        form.resetFields();
+        setLoggingSettings([]);
+        setModelAliases({});
+        setIsTeamModalVisible(false);
+      }
+    } catch (error) {
+      console.error("Error creating the team:", error);
+      NotificationsManager.fromBackend("Error creating the team: " + error);
+    }
+  };
+
+  const is_team_admin = (team: any) => {
+    if (team == null || team.members_with_roles == null) {
+      return false;
+    }
+    for (let i = 0; i < team.members_with_roles.length; i++) {
+      let member = team.members_with_roles[i];
+      if (member.user_id == userID && member.role == "admin") {
+        return true;
+      }
+    }
+    return false;
+  };
+
+  const handleRefreshClick = () => {
+    // Update the 'lastRefreshed' state to the current date and time
+    const currentDate = new Date();
+    setLastRefreshed(currentDate.toLocaleString());
+  };
+
+  const handleFilterChange = (key: keyof FilterState, value: string) => {
+    const newFilters = { ...filters, [key]: value };
+    setFilters(newFilters);
+    // Call teamListCall with the new filters
+    if (accessToken) {
+      v2TeamListCall(
+        accessToken,
+        newFilters.organization_id || null,
+        null,
+        newFilters.team_id || null,
+        newFilters.team_alias || null,
+      )
+        .then((response) => {
+          if (response && response.teams) {
+            setTeams(response.teams);
+          }
+        })
+        .catch((error) => {
+          console.error("Error fetching teams:", error);
+        });
+    }
+  };
+
+  const handleSortChange = (sortBy: string, sortOrder: "asc" | "desc") => {
+    const newFilters = {
+      ...filters,
+      sort_by: sortBy,
+      sort_order: sortOrder,
+    };
+    setFilters(newFilters);
+    // Call teamListCall with the new sort parameters
+    if (accessToken) {
+      v2TeamListCall(
+        accessToken,
+        filters.organization_id || null,
+        null,
+        filters.team_id || null,
+        filters.team_alias || null,
+      )
+        .then((response) => {
+          if (response && response.teams) {
+            setTeams(response.teams);
+          }
+        })
+        .catch((error) => {
+          console.error("Error fetching teams:", error);
+        });
+    }
+  };
+
+  const handleFilterReset = () => {
+    setFilters({
+      team_id: "",
+      team_alias: "",
+      organization_id: "",
+      sort_by: "created_at",
+      sort_order: "desc",
+    });
+    // Reset teams list
+    if (accessToken) {
+      v2TeamListCall(accessToken, null, userID || null, null, null)
+        .then((response) => {
+          if (response && response.teams) {
+            setTeams(response.teams);
+          }
+        })
+        .catch((error) => {
+          console.error("Error fetching teams:", error);
+        });
+    }
+  };
+
+  return (
+    <div className="w-full mx-4 h-[75vh]">
+      <Grid numItems={1} className="gap-2 p-8 w-full mt-2">
+        <Col numColSpan={1} className="flex flex-col gap-2">
+          {(userRole == "Admin" || userRole == "Org Admin") && (
+            <Button className="w-fit" onClick={() => setIsTeamModalVisible(true)}>
+              + Create New Team
+            </Button>
+          )}
+          {selectedTeamId ? (
+            <TeamInfoView
+              teamId={selectedTeamId}
+              onUpdate={(data) => {
+                setTeams((teams) => {
+                  if (teams == null) {
+                    return teams;
+                  }
+                  const updated = teams.map((team) => {
+                    if (data.team_id === team.team_id) {
+                      return updateExistingKeys(team, data);
+                    }
+                    return team;
+                  });
+                  // Minimal fix: refresh the full team list after an update
+                  if (accessToken) {
+                    fetchTeams(accessToken, userID, userRole, currentOrg, setTeams);
+                  }
+                  return updated;
+                });
+              }}
+              onClose={() => {
+                setSelectedTeamId(null);
+                setEditTeam(false);
+              }}
+              accessToken={accessToken}
+              is_team_admin={is_team_admin(teams?.find((team) => team.team_id === selectedTeamId))}
+              is_proxy_admin={userRole == "Admin"}
+              userModels={userModels}
+              editTeam={editTeam}
+            />
+          ) : (
+            <TabGroup className="gap-2 h-[75vh] w-full">
+              <TabList className="flex justify-between mt-2 w-full items-center">
+                <div className="flex">
+                  <Tab>Your Teams</Tab>
+                  <Tab>Available Teams</Tab>
+                  {isAdminRole(userRole || "") && <Tab>Default Team Settings</Tab>}
+                </div>
+                <div className="flex items-center space-x-2">
+                  {lastRefreshed && <Text>Last Refreshed: {lastRefreshed}</Text>}
+                  <Icon
+                    icon={RefreshIcon} // Modify as necessary for correct icon name
+                    variant="shadow"
+                    size="xs"
+                    className="self-center"
+                    onClick={handleRefreshClick}
+                  />
+                </div>
+              </TabList>
+              <TabPanels>
+                <TabPanel>
+                  <Text>
+                    Click on &ldquo;Team ID&rdquo; to view team details <b>and</b> manage team members.
+                  </Text>
+                  <Grid numItems={1} className="gap-2 pt-2 pb-2 h-[75vh] w-full mt-2">
+                    <Col numColSpan={1}>
+                      <Card className="w-full mx-auto flex-auto overflow-hidden overflow-y-auto max-h-[50vh]">
+                        <div className="border-b px-6 py-4">
+                          <div className="flex flex-col space-y-4">
+                            {/* Search and Filter Controls */}
+                            <div className="flex flex-wrap items-center gap-3">
+                              {/* Team Alias Search */}
+                              <div className="relative w-64">
+                                <input
+                                  type="text"
+                                  placeholder="Search by Team Name..."
+                                  className="w-full px-3 py-2 pl-8 border rounded-md text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
+                                  value={filters.team_alias}
+                                  onChange={(e) => handleFilterChange("team_alias", e.target.value)}
+                                />
+                                <svg
+                                  className="absolute left-2.5 top-2.5 h-4 w-4 text-gray-500"
+                                  fill="none"
+                                  stroke="currentColor"
+                                  viewBox="0 0 24 24"
+                                >
+                                  <path
+                                    strokeLinecap="round"
+                                    strokeLinejoin="round"
+                                    strokeWidth={2}
+                                    d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z"
+                                  />
+                                </svg>
+                              </div>
+
+                              {/* Filter Button */}
+                              <button
+                                className={`px-3 py-2 text-sm border rounded-md hover:bg-gray-50 flex items-center gap-2 ${showFilters ? "bg-gray-100" : ""}`}
+                                onClick={() => setShowFilters(!showFilters)}
+                              >
+                                <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                                  <path
+                                    strokeLinecap="round"
+                                    strokeLinejoin="round"
+                                    strokeWidth={2}
+                                    d="M3 4a1 1 0 011-1h16a1 1 0 011 1v2.586a1 1 0 01-.293.707l-6.414 6.414a1 1 0 00-.293.707V17l-4 4v-6.586a1 1 0 00-.293-.707L3.293 7.293A1 1 0 013 6.586V4z"
+                                  />
+                                </svg>
+                                Filters
+                                {(filters.team_id || filters.team_alias || filters.organization_id) && (
+                                  <span className="w-2 h-2 rounded-full bg-blue-500"></span>
+                                )}
+                              </button>
+
+                              {/* Reset Filters Button */}
+                              <button
+                                className="px-3 py-2 text-sm border rounded-md hover:bg-gray-50 flex items-center gap-2"
+                                onClick={handleFilterReset}
+                              >
+                                <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                                  <path
+                                    strokeLinecap="round"
+                                    strokeLinejoin="round"
+                                    strokeWidth={2}
+                                    d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15"
+                                  />
+                                </svg>
+                                Reset Filters
+                              </button>
+                            </div>
+
+                            {/* Additional Filters */}
+                            {showFilters && (
+                              <div className="flex flex-wrap items-center gap-3 mt-3">
+                                {/* Team ID Search */}
+                                <div className="relative w-64">
+                                  <input
+                                    type="text"
+                                    placeholder="Enter Team ID"
+                                    className="w-full px-3 py-2 pl-8 border rounded-md text-sm focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
+                                    value={filters.team_id}
+                                    onChange={(e) => handleFilterChange("team_id", e.target.value)}
+                                  />
+                                  <svg
+                                    className="absolute left-2.5 top-2.5 h-4 w-4 text-gray-500"
+                                    fill="none"
+                                    stroke="currentColor"
+                                    viewBox="0 0 24 24"
+                                  >
+                                    <path
+                                      strokeLinecap="round"
+                                      strokeLinejoin="round"
+                                      strokeWidth={2}
+                                      d="M5.121 17.804A13.937 13.937 0 0112 16c2.5 0 4.847.655 6.879 1.804M15 10a3 3 0 11-6 0 3 3 0 016 0zm6 2a9 9 0 11-18 0 9 9 0 0118 0z"
+                                    />
+                                  </svg>
+                                </div>
+
+                                {/* Organization Dropdown */}
+                                <div className="w-64">
+                                  <Select
+                                    value={filters.organization_id || ""}
+                                    onValueChange={(value) => handleFilterChange("organization_id", value)}
+                                    placeholder="Select Organization"
+                                  >
+                                    {organizations?.map((org) => (
+                                      <SelectItem key={org.organization_id} value={org.organization_id || ""}>
+                                        {org.organization_alias || org.organization_id}
+                                      </SelectItem>
+                                    ))}
+                                  </Select>
+                                </div>
+                              </div>
+                            )}
+                          </div>
+                        </div>
+                        <Table>
+                          <TableHead>
+                            <TableRow>
+                              <TableHeaderCell>Team Name</TableHeaderCell>
+                              <TableHeaderCell>Team ID</TableHeaderCell>
+                              <TableHeaderCell>Created</TableHeaderCell>
+                              <TableHeaderCell>Spend (USD)</TableHeaderCell>
+                              <TableHeaderCell>Budget (USD)</TableHeaderCell>
+                              <TableHeaderCell>Models</TableHeaderCell>
+                              <TableHeaderCell>Organization</TableHeaderCell>
+                              <TableHeaderCell>Info</TableHeaderCell>
+                            </TableRow>
+                          </TableHead>
+
+                          <TableBody>
+                            {teams && teams.length > 0
+                              ? teams
+                                  .filter((team) => {
+                                    if (!currentOrg) return true;
+                                    return team.organization_id === currentOrg.organization_id;
+                                  })
+                                  .sort((a, b) => new Date(b.created_at).getTime() - new Date(a.created_at).getTime())
+                                  .map((team: any) => (
+                                    <TableRow key={team.team_id}>
+                                      <TableCell
+                                        style={{
+                                          maxWidth: "4px",
+                                          whiteSpace: "pre-wrap",
+                                          overflow: "hidden",
+                                        }}
+                                      >
+                                        {team["team_alias"]}
+                                      </TableCell>
+                                      <TableCell>
+                                        <div className="overflow-hidden">
+                                          <Tooltip title={team.team_id}>
+                                            <Button
+                                              size="xs"
+                                              variant="light"
+                                              className="font-mono text-blue-500 bg-blue-50 hover:bg-blue-100 text-xs font-normal px-2 py-0.5 text-left overflow-hidden truncate max-w-[200px]"
+                                              onClick={() => {
+                                                // Add click handler
+                                                setSelectedTeamId(team.team_id);
+                                              }}
+                                            >
+                                              {team.team_id.slice(0, 7)}...
+                                            </Button>
+                                          </Tooltip>
+                                        </div>
+                                      </TableCell>
+                                      <TableCell
+                                        style={{
+                                          maxWidth: "4px",
+                                          whiteSpace: "pre-wrap",
+                                          overflow: "hidden",
+                                        }}
+                                      >
+                                        {team.created_at ? new Date(team.created_at).toLocaleDateString() : "N/A"}
+                                      </TableCell>
+                                      <TableCell
+                                        style={{
+                                          maxWidth: "4px",
+                                          whiteSpace: "pre-wrap",
+                                          overflow: "hidden",
+                                        }}
+                                      >
+                                        {formatNumberWithCommas(team["spend"], 4)}
+                                      </TableCell>
+                                      <TableCell
+                                        style={{
+                                          maxWidth: "4px",
+                                          whiteSpace: "pre-wrap",
+                                          overflow: "hidden",
+                                        }}
+                                      >
+                                        {team["max_budget"] !== null && team["max_budget"] !== undefined
+                                          ? team["max_budget"]
+                                          : "No limit"}
+                                      </TableCell>
+                                      <TableCell
+                                        style={{
+                                          maxWidth: "8-x",
+                                          whiteSpace: "pre-wrap",
+                                          overflow: "hidden",
+                                        }}
+                                        className={team.models.length > 3 ? "px-0" : ""}
+                                      >
+                                        <div className="flex flex-col">
+                                          {Array.isArray(team.models) ? (
+                                            <div className="flex flex-col">
+                                              {team.models.length === 0 ? (
+                                                <Badge size={"xs"} className="mb-1" color="red">
+                                                  <Text>All Proxy Models</Text>
+                                                </Badge>
+                                              ) : (
+                                                <>
+                                                  <div className="flex items-start">
+                                                    {team.models.length > 3 && (
+                                                      <div>
+                                                        <Icon
+                                                          icon={
+                                                            expandedAccordions[team.team_id]
+                                                              ? ChevronDownIcon
+                                                              : ChevronRightIcon
+                                                          }
+                                                          className="cursor-pointer"
+                                                          size="xs"
+                                                          onClick={() => {
+                                                            setExpandedAccordions((prev) => ({
+                                                              ...prev,
+                                                              [team.team_id]: !prev[team.team_id],
+                                                            }));
+                                                          }}
+                                                        />
+                                                      </div>
+                                                    )}
+                                                    <div className="flex flex-wrap gap-1">
+                                                      {team.models.slice(0, 3).map((model: string, index: number) =>
+                                                        model === "all-proxy-models" ? (
+                                                          <Badge key={index} size={"xs"} color="red">
+                                                            <Text>All Proxy Models</Text>
+                                                          </Badge>
+                                                        ) : (
+                                                          <Badge key={index} size={"xs"} color="blue">
+                                                            <Text>
+                                                              {model.length > 30
+                                                                ? `${getModelDisplayName(model).slice(0, 30)}...`
+                                                                : getModelDisplayName(model)}
+                                                            </Text>
+                                                          </Badge>
+                                                        ),
+                                                      )}
+                                                      {team.models.length > 3 && !expandedAccordions[team.team_id] && (
+                                                        <Badge size={"xs"} color="gray" className="cursor-pointer">
+                                                          <Text>
+                                                            +{team.models.length - 3}{" "}
+                                                            {team.models.length - 3 === 1
+                                                              ? "more model"
+                                                              : "more models"}
+                                                          </Text>
+                                                        </Badge>
+                                                      )}
+                                                      {expandedAccordions[team.team_id] && (
+                                                        <div className="flex flex-wrap gap-1">
+                                                          {team.models.slice(3).map((model: string, index: number) =>
+                                                            model === "all-proxy-models" ? (
+                                                              <Badge key={index + 3} size={"xs"} color="red">
+                                                                <Text>All Proxy Models</Text>
+                                                              </Badge>
+                                                            ) : (
+                                                              <Badge key={index + 3} size={"xs"} color="blue">
+                                                                <Text>
+                                                                  {model.length > 30
+                                                                    ? `${getModelDisplayName(model).slice(0, 30)}...`
+                                                                    : getModelDisplayName(model)}
+                                                                </Text>
+                                                              </Badge>
+                                                            ),
+                                                          )}
+                                                        </div>
+                                                      )}
+                                                    </div>
+                                                  </div>
+                                                </>
+                                              )}
+                                            </div>
+                                          ) : null}
+                                        </div>
+                                      </TableCell>
+
+                                      <TableCell>{team.organization_id}</TableCell>
+                                      <TableCell>
+                                        <Text>
+                                          {perTeamInfo &&
+                                            team.team_id &&
+                                            perTeamInfo[team.team_id] &&
+                                            perTeamInfo[team.team_id].keys &&
+                                            perTeamInfo[team.team_id].keys.length}{" "}
+                                          Keys
+                                        </Text>
+                                        <Text>
+                                          {perTeamInfo &&
+                                            team.team_id &&
+                                            perTeamInfo[team.team_id] &&
+                                            perTeamInfo[team.team_id].team_info &&
+                                            perTeamInfo[team.team_id].team_info.members_with_roles &&
+                                            perTeamInfo[team.team_id].team_info.members_with_roles.length}{" "}
+                                          Members
+                                        </Text>
+                                      </TableCell>
+                                      <TableCell>
+                                        {userRole == "Admin" ? (
+                                          <>
+                                            <Icon
+                                              icon={PencilAltIcon}
+                                              size="sm"
+                                              onClick={() => {
+                                                setSelectedTeamId(team.team_id);
+                                                setEditTeam(true);
+                                              }}
+                                            />
+                                            <Icon
+                                              onClick={() => handleDelete(team.team_id)}
+                                              icon={TrashIcon}
+                                              size="sm"
+                                            />
+                                          </>
+                                        ) : null}
+                                      </TableCell>
+                                    </TableRow>
+                                  ))
+                              : null}
+                          </TableBody>
+                        </Table>
+                        {isDeleteModalOpen &&
+                          (() => {
+                            const team = teams?.find((t) => t.team_id === teamToDelete);
+                            const teamName = team?.team_alias || "";
+                            const keyCount = team?.keys?.length || 0;
+                            const isValid = deleteConfirmInput === teamName;
+                            return (
+                              <div className="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50">
+                                <div className="bg-white rounded-lg shadow-xl w-full max-w-2xl min-h-[380px] py-6 overflow-hidden transform transition-all flex flex-col justify-between">
+                                  <div>
+                                    <div className="flex items-center justify-between px-6 py-4 border-b border-gray-200">
+                                      <h3 className="text-lg font-semibold text-gray-900">Delete Team</h3>
+                                      <button
+                                        onClick={() => {
+                                          cancelDelete();
+                                          setDeleteConfirmInput("");
+                                        }}
+                                        className="text-gray-400 hover:text-gray-500 focus:outline-none"
+                                      >
+                                        <XIcon size={20} />
+                                      </button>
+                                    </div>
+                                    <div className="px-6 py-4">
+                                      {keyCount > 0 && (
+                                        <div className="flex items-start gap-3 p-4 bg-red-50 border border-red-100 rounded-md mb-5">
+                                          <div className="text-red-500 mt-0.5">
+                                            <AlertTriangleIcon size={20} />
+                                          </div>
+                                          <div>
+                                            <p className="text-base font-medium text-red-600">
+                                              Warning: This team has {keyCount} associated key{keyCount > 1 ? "s" : ""}.
+                                            </p>
+                                            <p className="text-base text-red-600 mt-2">
+                                              Deleting the team will also delete all associated keys. This action is
+                                              irreversible.
+                                            </p>
+                                          </div>
+                                        </div>
+                                      )}
+                                      <p className="text-base text-gray-600 mb-5">
+                                        Are you sure you want to force delete this team and all its keys?
+                                      </p>
+                                      <div className="mb-5">
+                                        <label className="block text-base font-medium text-gray-700 mb-2">
+                                          {`Type `}
+                                          <span className="underline">{teamName}</span>
+                                          {` to confirm deletion:`}
+                                        </label>
+                                        <input
+                                          type="text"
+                                          value={deleteConfirmInput}
+                                          onChange={(e) => setDeleteConfirmInput(e.target.value)}
+                                          placeholder="Enter team name exactly"
+                                          className="w-full px-4 py-3 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-blue-500 text-base"
+                                          autoFocus
+                                        />
+                                      </div>
+                                    </div>
+                                  </div>
+                                  <div className="px-6 py-4 bg-gray-50 flex justify-end gap-4">
+                                    <button
+                                      onClick={() => {
+                                        cancelDelete();
+                                        setDeleteConfirmInput("");
+                                      }}
+                                      className="px-5 py-3 bg-white border border-gray-300 rounded-md text-base font-medium text-gray-700 hover:bg-gray-50 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-blue-500"
+                                    >
+                                      Cancel
+                                    </button>
+                                    <button
+                                      onClick={confirmDelete}
+                                      disabled={!isValid}
+                                      className={`px-5 py-3 rounded-md text-base font-medium text-white focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-red-500 ${isValid ? "bg-red-600 hover:bg-red-700" : "bg-red-300 cursor-not-allowed"}`}
+                                    >
+                                      Force Delete
+                                    </button>
+                                  </div>
+                                </div>
+                              </div>
+                            );
+                          })()}
+                      </Card>
+                    </Col>
+                  </Grid>
+                </TabPanel>
+                <TabPanel>
+                  <AvailableTeamsPanel accessToken={accessToken} userID={userID} />
+                </TabPanel>
+                {isAdminRole(userRole || "") && (
+                  <TabPanel>
+                    <TeamSSOSettings accessToken={accessToken} userID={userID || ""} userRole={userRole || ""} />
+                  </TabPanel>
+                )}
+              </TabPanels>
+            </TabGroup>
+          )}
+          {(userRole == "Admin" || userRole == "Org Admin") && (
+            <Modal
+              title="Create Team"
+              visible={isTeamModalVisible}
+              width={1000}
+              footer={null}
+              onOk={handleOk}
+              onCancel={handleCancel}
+            >
+              <Form
+                form={form}
+                onFinish={handleCreate}
+                labelCol={{ span: 8 }}
+                wrapperCol={{ span: 16 }}
+                labelAlign="left"
+              >
+                <>
+                  <Form.Item
+                    label="Team Name"
+                    name="team_alias"
+                    rules={[
+                      {
+                        required: true,
+                        message: "Please input a team name",
+                      },
+                    ]}
+                  >
+                    <TextInput placeholder="" />
+                  </Form.Item>
+                  <Form.Item
+                    label={
+                      <span>
+                        Organization{" "}
+                        <Tooltip
+                          title={
+                            <span>
+                              Organizations can have multiple teams. Learn more about{" "}
+                              <a
+                                href="https://docs.litellm.ai/docs/proxy/user_management_heirarchy"
+                                target="_blank"
+                                rel="noopener noreferrer"
+                                style={{
+                                  color: "#1890ff",
+                                  textDecoration: "underline",
+                                }}
+                                onClick={(e) => e.stopPropagation()}
+                              >
+                                user management hierarchy
+                              </a>
+                            </span>
+                          }
+                        >
+                          <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                        </Tooltip>
+                      </span>
+                    }
+                    name="organization_id"
+                    initialValue={currentOrg ? currentOrg.organization_id : null}
+                    className="mt-8"
+                  >
+                    <Select2
+                      showSearch
+                      allowClear
+                      placeholder="Search or select an Organization"
+                      onChange={(value) => {
+                        form.setFieldValue("organization_id", value);
+                        setCurrentOrgForCreateTeam(organizations?.find((org) => org.organization_id === value) || null);
+                      }}
+                      filterOption={(input, option) => {
+                        if (!option) return false;
+                        const optionValue = option.children?.toString() || "";
+                        return optionValue.toLowerCase().includes(input.toLowerCase());
+                      }}
+                      optionFilterProp="children"
+                    >
+                      {organizations?.map((org) => (
+                        <Select2.Option key={org.organization_id} value={org.organization_id}>
+                          <span className="font-medium">{org.organization_alias}</span>{" "}
+                          <span className="text-gray-500">({org.organization_id})</span>
+                        </Select2.Option>
+                      ))}
+                    </Select2>
+                  </Form.Item>
+                  <Form.Item
+                    label={
+                      <span>
+                        Models{" "}
+                        <Tooltip title="These are the models that your selected team has access to">
+                          <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                        </Tooltip>
+                      </span>
+                    }
+                    name="models"
+                  >
+                    <Select2 mode="multiple" placeholder="Select models" style={{ width: "100%" }}>
+                      <Select2.Option key="all-proxy-models" value="all-proxy-models">
+                        All Proxy Models
+                      </Select2.Option>
+                      {modelsToPick.map((model) => (
+                        <Select2.Option key={model} value={model}>
+                          {getModelDisplayName(model)}
+                        </Select2.Option>
+                      ))}
+                    </Select2>
+                  </Form.Item>
+
+                  <Form.Item label="Max Budget (USD)" name="max_budget">
+                    <NumericalInput step={0.01} precision={2} width={200} />
+                  </Form.Item>
+                  <Form.Item className="mt-8" label="Reset Budget" name="budget_duration">
+                    <Select2 defaultValue={null} placeholder="n/a">
+                      <Select2.Option value="24h">daily</Select2.Option>
+                      <Select2.Option value="7d">weekly</Select2.Option>
+                      <Select2.Option value="30d">monthly</Select2.Option>
+                    </Select2>
+                  </Form.Item>
+                  <Form.Item label="Tokens per minute Limit (TPM)" name="tpm_limit">
+                    <NumericalInput step={1} width={400} />
+                  </Form.Item>
+                  <Form.Item label="Requests per minute Limit (RPM)" name="rpm_limit">
+                    <NumericalInput step={1} width={400} />
+                  </Form.Item>
+
+                  <Accordion
+                    className="mt-20 mb-8"
+                    onClick={() => {
+                      if (!mcpAccessGroupsLoaded) {
+                        fetchMcpAccessGroups();
+                        setMcpAccessGroupsLoaded(true);
+                      }
+                    }}
+                  >
+                    <AccordionHeader>
+                      <b>Additional Settings</b>
+                    </AccordionHeader>
+                    <AccordionBody>
+                      <Form.Item
+                        label="Team ID"
+                        name="team_id"
+                        help="ID of the team you want to create. If not provided, it will be generated automatically."
+                      >
+                        <TextInput
+                          onChange={(e) => {
+                            e.target.value = e.target.value.trim();
+                          }}
+                        />
+                      </Form.Item>
+                      <Form.Item
+                        label="Team Member Budget (USD)"
+                        name="team_member_budget"
+                        normalize={(value) => (value ? Number(value) : undefined)}
+                        tooltip="This is the individual budget for a user in the team."
+                      >
+                        <NumericalInput step={0.01} precision={2} width={200} />
+                      </Form.Item>
+                      <Form.Item
+                        label="Team Member Key Duration (eg: 1d, 1mo)"
+                        name="team_member_key_duration"
+                        tooltip="Set a limit to the duration of a team member's key. Format: 30s (seconds), 30m (minutes), 30h (hours), 30d (days), 1mo (month)"
+                      >
+                        <TextInput placeholder="e.g., 30d" />
+                      </Form.Item>
+                      <Form.Item
+                        label="Team Member RPM Limit"
+                        name="team_member_rpm_limit"
+                        tooltip="The RPM (Requests Per Minute) limit for individual team members"
+                      >
+                        <NumericalInput step={1} width={400} />
+                      </Form.Item>
+                      <Form.Item
+                        label="Team Member TPM Limit"
+                        name="team_member_tpm_limit"
+                        tooltip="The TPM (Tokens Per Minute) limit for individual team members"
+                      >
+                        <NumericalInput step={1} width={400} />
+                      </Form.Item>
+                      <Form.Item
+                        label="Metadata"
+                        name="metadata"
+                        help="Additional team metadata. Enter metadata as JSON object."
+                      >
+                        <Input.TextArea rows={4} />
+                      </Form.Item>
+                      <Form.Item
+                        label={
+                          <span>
+                            Guardrails{" "}
+                            <Tooltip title="Setup your first guardrail">
+                              <a
+                                href="https://docs.litellm.ai/docs/proxy/guardrails/quick_start"
+                                target="_blank"
+                                rel="noopener noreferrer"
+                                onClick={(e) => e.stopPropagation()}
+                              >
+                                <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                              </a>
+                            </Tooltip>
+                          </span>
+                        }
+                        name="guardrails"
+                        className="mt-8"
+                        help="Select existing guardrails or enter new ones"
+                      >
+                        <Select2
+                          mode="tags"
+                          style={{ width: "100%" }}
+                          placeholder="Select or enter guardrails"
+                          options={guardrailsList.map((name) => ({
+                            value: name,
+                            label: name,
+                          }))}
+                        />
+                      </Form.Item>
+                      <Form.Item
+                        label={
+                          <span>
+                            Allowed Vector Stores{" "}
+                            <Tooltip title="Select which vector stores this team can access by default. Leave empty for access to all vector stores">
+                              <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                            </Tooltip>
+                          </span>
+                        }
+                        name="allowed_vector_store_ids"
+                        className="mt-8"
+                        help="Select vector stores this team can access. Leave empty for access to all vector stores"
+                      >
+                        <VectorStoreSelector
+                          onChange={(values: string[]) => form.setFieldValue("allowed_vector_store_ids", values)}
+                          value={form.getFieldValue("allowed_vector_store_ids")}
+                          accessToken={accessToken || ""}
+                          placeholder="Select vector stores (optional)"
+                        />
+                      </Form.Item>
+                    </AccordionBody>
+                  </Accordion>
+
+                  <Accordion className="mt-8 mb-8">
+                    <AccordionHeader>
+                      <b>MCP Settings</b>
+                    </AccordionHeader>
+                    <AccordionBody>
+                      <Form.Item
+                        label={
+                          <span>
+                            Allowed MCP Servers{" "}
+                            <Tooltip title="Select which MCP servers or access groups this team can access">
+                              <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                            </Tooltip>
+                          </span>
+                        }
+                        name="allowed_mcp_servers_and_groups"
+                        className="mt-4"
+                        help="Select MCP servers or access groups this team can access"
+                      >
+                        <MCPServerSelector
+                          onChange={(val: any) => form.setFieldValue("allowed_mcp_servers_and_groups", val)}
+                          value={form.getFieldValue("allowed_mcp_servers_and_groups")}
+                          accessToken={accessToken || ""}
+                          placeholder="Select MCP servers or access groups (optional)"
+                        />
+                      </Form.Item>
+
+                      {/* Hidden field to register mcp_tool_permissions with the form */}
+                      <Form.Item name="mcp_tool_permissions" initialValue={{}} hidden>
+                        <Input type="hidden" />
+                      </Form.Item>
+
+                      <Form.Item
+                        noStyle
+                        shouldUpdate={(prevValues, currentValues) =>
+                          prevValues.allowed_mcp_servers_and_groups !== currentValues.allowed_mcp_servers_and_groups ||
+                          prevValues.mcp_tool_permissions !== currentValues.mcp_tool_permissions
+                        }
+                      >
+                        {() => (
+                          <div className="mt-6">
+                            <MCPToolPermissions
+                              accessToken={accessToken || ""}
+                              selectedServers={form.getFieldValue("allowed_mcp_servers_and_groups")?.servers || []}
+                              toolPermissions={form.getFieldValue("mcp_tool_permissions") || {}}
+                              onChange={(toolPerms) => form.setFieldsValue({ mcp_tool_permissions: toolPerms })}
+                            />
+                          </div>
+                        )}
+                      </Form.Item>
+                    </AccordionBody>
+                  </Accordion>
+
+                  <Accordion className="mt-8 mb-8">
+                    <AccordionHeader>
+                      <b>Logging Settings</b>
+                    </AccordionHeader>
+                    <AccordionBody>
+                      <div className="mt-4">
+                        <PremiumLoggingSettings
+                          value={loggingSettings}
+                          onChange={setLoggingSettings}
+                          premiumUser={premiumUser}
+                        />
+                      </div>
+                    </AccordionBody>
+                  </Accordion>
+
+                  <Accordion className="mt-8 mb-8">
+                    <AccordionHeader>
+                      <b>Model Aliases</b>
+                    </AccordionHeader>
+                    <AccordionBody>
+                      <div className="mt-4">
+                        <Text className="text-sm text-gray-600 mb-4">
+                          Create custom aliases for models that can be used by team members in API calls. This allows
+                          you to create shortcuts for specific models.
+                        </Text>
+                        <ModelAliasManager
+                          accessToken={accessToken || ""}
+                          initialModelAliases={modelAliases}
+                          onAliasUpdate={setModelAliases}
+                          showExampleConfig={false}
+                        />
+                      </div>
+                    </AccordionBody>
+                  </Accordion>
+                </>
+                <div style={{ textAlign: "right", marginTop: "10px" }}>
+                  <Button2 htmlType="submit">Create Team</Button2>
+                </div>
+              </Form>
+            </Modal>
+          )}
+        </Col>
+      </Grid>
+    </div>
+  );
+};
+
+export default Teams;
diff --git a/ui/litellm-dashboard/src/components/SCIM.tsx b/ui/litellm-dashboard/src/components/SCIM.tsx
index 5ccfecaf19..c8da8f2c9c 100644
--- a/ui/litellm-dashboard/src/components/SCIM.tsx
+++ b/ui/litellm-dashboard/src/components/SCIM.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
-import { Card, Title, Text, Grid, Col, Button as TremorButton, Callout, TextInput, Divider } from "@tremor/react";
-import { message, Form } from "antd";
+import { Card, Title, Text, Grid, Button as TremorButton, Callout, TextInput, Divider } from "@tremor/react";
+import { Form } from "antd";
 import { keyCreateCall } from "./networking";
 import { CopyToClipboard } from "react-copy-to-clipboard";
 import {
diff --git a/ui/litellm-dashboard/src/components/SSOModals.tsx b/ui/litellm-dashboard/src/components/SSOModals.tsx
index 44b09dc4db..3c48421498 100644
--- a/ui/litellm-dashboard/src/components/SSOModals.tsx
+++ b/ui/litellm-dashboard/src/components/SSOModals.tsx
@@ -1,5 +1,5 @@
 import React, { useEffect, useState } from "react";
-import { Modal, Form, Input, Button as Button2, Select, message } from "antd";
+import { Modal, Form, Input, Button as Button2, Select } from "antd";
 import { Text, TextInput } from "@tremor/react";
 import { getSSOSettings, updateSSOSettings } from "./networking";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/SSOSettings.tsx b/ui/litellm-dashboard/src/components/SSOSettings.tsx
index 399fd51706..917aa1864e 100644
--- a/ui/litellm-dashboard/src/components/SSOSettings.tsx
+++ b/ui/litellm-dashboard/src/components/SSOSettings.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
 import { Card, Title, Text, Divider, Button, TextInput } from "@tremor/react";
-import { Typography, Spin, message, Switch, Select, Form, InputNumber } from "antd";
+import { Typography, Spin, Switch, Select, InputNumber } from "antd";
 import { PlusOutlined, DeleteOutlined } from "@ant-design/icons";
 import { getInternalUserSettings, updateInternalUserSettings, modelAvailableCall } from "./networking";
 import BudgetDurationDropdown, { getBudgetDurationLabel } from "./common_components/budget_duration_dropdown";
diff --git a/ui/litellm-dashboard/src/components/TeamSSOSettings.tsx b/ui/litellm-dashboard/src/components/TeamSSOSettings.tsx
index 4d20630e9f..1c4d7f6240 100644
--- a/ui/litellm-dashboard/src/components/TeamSSOSettings.tsx
+++ b/ui/litellm-dashboard/src/components/TeamSSOSettings.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
 import { Card, Title, Text, Divider, Button, TextInput } from "@tremor/react";
-import { Typography, Spin, message, Switch, Select, Form } from "antd";
+import { Typography, Spin, Switch, Select } from "antd";
 import { getDefaultTeamSettings, updateDefaultTeamSettings, modelAvailableCall } from "./networking";
 import BudgetDurationDropdown, { getBudgetDurationLabel } from "./common_components/budget_duration_dropdown";
 import { getModelDisplayName } from "./key_team_helpers/fetch_available_models_team_key";
diff --git a/ui/litellm-dashboard/src/components/UIAccessControlForm.tsx b/ui/litellm-dashboard/src/components/UIAccessControlForm.tsx
index dacae9e9fc..77bee2c1e5 100644
--- a/ui/litellm-dashboard/src/components/UIAccessControlForm.tsx
+++ b/ui/litellm-dashboard/src/components/UIAccessControlForm.tsx
@@ -1,5 +1,5 @@
 import React, { useEffect, useState } from "react";
-import { Form, Button as Button2, Select, message } from "antd";
+import { Form, Button as Button2, Select } from "antd";
 import { Text, TextInput } from "@tremor/react";
 import { getSSOSettings, updateSSOSettings } from "./networking";
 import NotificationManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/activity_metrics.tsx b/ui/litellm-dashboard/src/components/activity_metrics.tsx
index b0c942af83..1878e1364d 100644
--- a/ui/litellm-dashboard/src/components/activity_metrics.tsx
+++ b/ui/litellm-dashboard/src/components/activity_metrics.tsx
@@ -113,7 +113,8 @@ const ModelSection = ({ modelName, metrics }: { modelName: string; metrics: Mode
             index="date"
             categories={["metrics.spend"]}
             colors={["green"]}
-            valueFormatter={(value: number) => `$${formatNumberWithCommas(value, 2)}`}
+            valueFormatter={(value: number) => `$${formatNumberWithCommas(value, 2, true)}`}
+            yAxisWidth={72}
           />
         </Card>
 
diff --git a/ui/litellm-dashboard/src/components/add_fallbacks.tsx b/ui/litellm-dashboard/src/components/add_fallbacks.tsx
index a07337400d..b89ce34df5 100644
--- a/ui/litellm-dashboard/src/components/add_fallbacks.tsx
+++ b/ui/litellm-dashboard/src/components/add_fallbacks.tsx
@@ -3,10 +3,10 @@
  */
 
 import React, { useState, useEffect } from "react";
-import { Button, TextInput, Grid, Col } from "@tremor/react";
-import { Select, SelectItem, MultiSelect, MultiSelectItem, SearchSelect, SearchSelectItem } from "@tremor/react";
+import { Button } from "@tremor/react";
+import { SearchSelect, SearchSelectItem } from "@tremor/react";
 import { setCallbacksCall } from "./networking";
-import { Modal, Form, message } from "antd";
+import { Modal, Form } from "antd";
 import { fetchAvailableModels, ModelGroup } from "./chat_ui/llm_calls/fetch_models";
 import NotificationManager from "./molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
index 8c4a2c69a0..ac3a0cf7a3 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
@@ -1,11 +1,8 @@
 import React, { useEffect, useState } from "react";
-import { Card, Form, Button, Tooltip, Typography, Select as AntdSelect, Modal, Upload, message } from "antd";
+import { Card, Form, Button, Tooltip, Typography, Select as AntdSelect, Modal } from "antd";
 import type { FormInstance } from "antd";
-import type { UploadProps } from "antd/es/upload";
-import { UploadOutlined } from "@ant-design/icons";
 import { Text, TextInput } from "@tremor/react";
-import { Row, Col } from "antd";
-import { CredentialItem, modelAvailableCall } from "../networking";
+import { modelAvailableCall } from "../networking";
 import ConnectionErrorDisplay from "./model_connection_test";
 import { all_admin_roles } from "@/utils/roles";
 import { handleAddAutoRouterSubmit } from "./handle_add_auto_router_submit";
diff --git a/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx
index 139f1cc7a9..26c5e5c3ff 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_model_tab.tsx
@@ -1,5 +1,5 @@
-import React, { useEffect, useMemo, useState } from "react";
-import { Card, Form, Button, Tooltip, Typography, Select as AntdSelect, Modal, message } from "antd";
+import React, { useEffect, useState } from "react";
+import { Card, Form, Button, Tooltip, Typography, Select as AntdSelect, Modal } from "antd";
 import type { FormInstance } from "antd";
 import type { UploadProps } from "antd/es/upload";
 import { TabGroup, TabList, Tab, TabPanels, TabPanel } from "@tremor/react";
@@ -7,13 +7,13 @@ import LiteLLMModelNameField from "./litellm_model_name";
 import ConditionalPublicModelName from "./conditional_public_model_name";
 import ProviderSpecificFields from "./provider_specific_fields";
 import AdvancedSettings from "./advanced_settings";
-import { Providers, providerLogoMap, getPlaceholder } from "../provider_info_helpers";
+import { Providers, providerLogoMap } from "../provider_info_helpers";
 import type { Team } from "../key_team_helpers/key_list";
 import { CredentialItem, getGuardrailsList, modelAvailableCall } from "../networking";
 import ConnectionErrorDisplay from "./model_connection_test";
 import { TEST_MODES } from "./add_model_modes";
 import { Row, Col } from "antd";
-import { Text, TextInput, Switch } from "@tremor/react";
+import { Text, Switch } from "@tremor/react";
 import TeamDropdown from "../common_components/team_dropdown";
 import { all_admin_roles } from "@/utils/roles";
 import AddAutoRouterTab from "./add_auto_router_tab";
diff --git a/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx b/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx
index 7bed5df1cc..e77dc55f75 100644
--- a/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/advanced_settings.tsx
@@ -1,11 +1,10 @@
 import React from "react";
-import { Form, Switch, Select, Input, Tooltip } from "antd";
-import { Text, Button, Accordion, AccordionHeader, AccordionBody, TextInput } from "@tremor/react";
-import { Row, Col, Typography, Card } from "antd";
+import { Form, Switch, Select, Tooltip } from "antd";
+import { Text, Accordion, AccordionHeader, AccordionBody, TextInput } from "@tremor/react";
+import { Row, Col, Typography } from "antd";
 import TextArea from "antd/es/input/TextArea";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { Team } from "../key_team_helpers/key_list";
-import TeamDropdown from "../common_components/team_dropdown";
 import CacheControlSettings from "./cache_control_settings";
 const { Link } = Typography;
 
diff --git a/ui/litellm-dashboard/src/components/add_model/cache_control_settings.tsx b/ui/litellm-dashboard/src/components/add_model/cache_control_settings.tsx
index e892dfb391..88fd9a4292 100644
--- a/ui/litellm-dashboard/src/components/add_model/cache_control_settings.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/cache_control_settings.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Form, Switch, Select, Input, Typography } from "antd";
+import { Form, Switch, Select, Typography } from "antd";
 import { PlusOutlined, MinusCircleOutlined } from "@ant-design/icons";
 import NumericalInput from "../shared/numerical_input";
 
diff --git a/ui/litellm-dashboard/src/components/add_model/handle_add_auto_router_submit.tsx b/ui/litellm-dashboard/src/components/add_model/handle_add_auto_router_submit.tsx
index ff4793f15a..f813f2f0b7 100644
--- a/ui/litellm-dashboard/src/components/add_model/handle_add_auto_router_submit.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/handle_add_auto_router_submit.tsx
@@ -1,4 +1,3 @@
-import { message } from "antd";
 import { modelCreateCall, Model } from "../networking";
 import NotificationManager from "../molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/add_model/handle_add_model_submit.tsx b/ui/litellm-dashboard/src/components/add_model/handle_add_model_submit.tsx
index 88b5d9f1a3..e41b114c77 100644
--- a/ui/litellm-dashboard/src/components/add_model/handle_add_model_submit.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/handle_add_model_submit.tsx
@@ -1,8 +1,5 @@
-import { message } from "antd";
 import { provider_map, Providers } from "../provider_info_helpers";
 import { modelCreateCall, Model } from "../networking";
-import React, { useState } from "react";
-import ConnectionErrorDisplay from "./model_connection_test";
 import NotificationManager from "../molecules/notifications_manager";
 
 export const prepareModelAddRequest = async (formValues: Record<string, any>, accessToken: string, form: any) => {
diff --git a/ui/litellm-dashboard/src/components/add_model/model_connection_test.tsx b/ui/litellm-dashboard/src/components/add_model/model_connection_test.tsx
index 2e0967fb0a..932285bac3 100644
--- a/ui/litellm-dashboard/src/components/add_model/model_connection_test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/model_connection_test.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Typography, Space, Button, Divider, message } from "antd";
+import { Typography, Button, Divider } from "antd";
 import { WarningOutlined, InfoCircleOutlined, CopyOutlined } from "@ant-design/icons";
 import { testConnectionRequest } from "../networking";
 import { prepareModelAddRequest } from "./handle_add_model_submit";
diff --git a/ui/litellm-dashboard/src/components/add_model/router_config_builder.tsx b/ui/litellm-dashboard/src/components/add_model/router_config_builder.tsx
index a74853cc9b..727a052b05 100644
--- a/ui/litellm-dashboard/src/components/add_model/router_config_builder.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/router_config_builder.tsx
@@ -1,7 +1,7 @@
 import React, { useState, useEffect } from "react";
-import { Card, Form, Button, Input, InputNumber, Select as AntdSelect, Space, Tooltip, Collapse } from "antd";
+import { Card, Button, Input, InputNumber, Select as AntdSelect, Tooltip, Collapse } from "antd";
 import { PlusOutlined, DeleteOutlined, InfoCircleOutlined, DownOutlined } from "@ant-design/icons";
-import { Text, TextInput } from "@tremor/react";
+import { Text } from "@tremor/react";
 import { ModelGroup } from "../chat_ui/llm_calls/fetch_models";
 
 const { TextArea } = Input;
diff --git a/ui/litellm-dashboard/src/components/add_pass_through.tsx b/ui/litellm-dashboard/src/components/add_pass_through.tsx
index ae20e897ce..7d4bcc4ab7 100644
--- a/ui/litellm-dashboard/src/components/add_pass_through.tsx
+++ b/ui/litellm-dashboard/src/components/add_pass_through.tsx
@@ -2,46 +2,26 @@
  * Modal to add fallbacks to the proxy router config
  */
 
-import React, { useState, useEffect, useRef } from "react";
-import { Button, TextInput, Grid, Col, Switch } from "@tremor/react";
+import React, { useState } from "react";
+import { Button, TextInput, Switch } from "@tremor/react";
 import {
-  Select,
-  SelectItem,
-  MultiSelect,
-  MultiSelectItem,
   Card,
-  Metric,
-  Text,
   Title,
   Subtitle,
-  Accordion,
-  AccordionHeader,
-  AccordionBody,
 } from "@tremor/react";
 import { createPassThroughEndpoint } from "./networking";
 import {
-  Button as Button2,
   Modal,
   Form,
-  Input,
-  InputNumber,
   Select as Select2,
-  message,
   Tooltip,
   Alert,
-  Divider,
-  Collapse,
 } from "antd";
 import NumericalInput from "./shared/numerical_input";
 import {
   InfoCircleOutlined,
   ApiOutlined,
-  ExclamationCircleOutlined,
-  CheckCircleOutlined,
-  CopyOutlined,
 } from "@ant-design/icons";
-import { keyCreateCall, slackBudgetAlertsHealthCheck, modelAvailableCall } from "./networking";
-import { list } from "postcss";
 import KeyValueInput from "./key_value_input";
 import { passThroughItem } from "./pass_through_settings";
 import RoutePreview from "./route_preview";
diff --git a/ui/litellm-dashboard/src/components/admins.tsx b/ui/litellm-dashboard/src/components/admins.tsx
index 88ec208cb4..84d3d791ec 100644
--- a/ui/litellm-dashboard/src/components/admins.tsx
+++ b/ui/litellm-dashboard/src/components/admins.tsx
@@ -5,9 +5,8 @@
 import React, { useState, useEffect } from "react";
 import { Typography } from "antd";
 import { useRouter } from "next/navigation";
-import { Button as Button2, Modal, Form, Input, Select as Select2, InputNumber, message } from "antd";
-import { CopyToClipboard } from "react-copy-to-clipboard";
-import { Select, SelectItem, Subtitle } from "@tremor/react";
+import { Button as Button2, Modal, Form, Input } from "antd";
+import { Select, SelectItem } from "@tremor/react";
 import { Team } from "./key_team_helpers/key_list";
 import {
   Table,
@@ -17,24 +16,16 @@ import {
   TableHeaderCell,
   TableRow,
   Card,
-  Icon,
   Button,
-  Col,
-  Text,
-  Grid,
   Callout,
-  Divider,
   TabGroup,
   TabList,
   Tab,
   TabPanel,
   TabPanels,
 } from "@tremor/react";
-import { PencilAltIcon } from "@heroicons/react/outline";
-import OnboardingModal from "./onboarding_link";
 import { InvitationLink } from "./onboarding_link";
 import SSOModals from "./SSOModals";
-import { ssoProviderConfigs } from "./SSOModals";
 import SCIMConfig from "./SCIM";
 import UIAccessControlForm from "./UIAccessControlForm";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/alerting/alerting_settings.tsx b/ui/litellm-dashboard/src/components/alerting/alerting_settings.tsx
index 2348b651d7..aa02b4c59a 100644
--- a/ui/litellm-dashboard/src/components/alerting/alerting_settings.tsx
+++ b/ui/litellm-dashboard/src/components/alerting/alerting_settings.tsx
@@ -2,21 +2,9 @@
  * UI for controlling slack alerting settings
  */
 import React, { useState, useEffect } from "react";
-import {
-  Table,
-  TableHead,
-  TableRow,
-  TableHeaderCell,
-  TableCell,
-  Button,
-  Icon,
-  Badge,
-  TableBody,
-  Text,
-} from "@tremor/react";
-import { InputNumber, message } from "antd";
+
+
 import { alertingSettingsCall, updateConfigFieldSetting } from "../networking";
-import { TrashIcon, CheckCircleIcon } from "@heroicons/react/outline";
 import DynamicForm from "./dynamic_form";
 import NotificationsManager from "../molecules/notifications_manager";
 interface alertingSettingsItem {
diff --git a/ui/litellm-dashboard/src/components/alerting/dynamic_form.tsx b/ui/litellm-dashboard/src/components/alerting/dynamic_form.tsx
index fff4f760ed..a0c7586ce4 100644
--- a/ui/litellm-dashboard/src/components/alerting/dynamic_form.tsx
+++ b/ui/litellm-dashboard/src/components/alerting/dynamic_form.tsx
@@ -1,8 +1,7 @@
 import React from "react";
-import { Form, Input, InputNumber, Row, Col, Button as Button2 } from "antd";
+import { Form, Input, InputNumber, Button as Button2 } from "antd";
 import { TrashIcon, CheckCircleIcon } from "@heroicons/react/outline";
 import { Button, Badge, Icon, Text, TableRow, TableCell, Switch } from "@tremor/react";
-import Paragraph from "antd/es/typography/Paragraph";
 interface AlertingSetting {
   field_name: string;
   field_description: string;
diff --git a/ui/litellm-dashboard/src/components/all_keys_table.tsx b/ui/litellm-dashboard/src/components/all_keys_table.tsx
index 33908834c6..a915fe0617 100644
--- a/ui/litellm-dashboard/src/components/all_keys_table.tsx
+++ b/ui/litellm-dashboard/src/components/all_keys_table.tsx
@@ -1,7 +1,6 @@
 "use client";
-import React, { useEffect, useState, useCallback, useRef } from "react";
-import { ColumnDef, Row } from "@tanstack/react-table";
-import { DataTable } from "./view_logs/table";
+import React, { useEffect, useState } from "react";
+import { ColumnDef } from "@tanstack/react-table";
 import { Select, SelectItem } from "@tremor/react";
 import { Button } from "@tremor/react";
 import KeyInfoView from "./templates/key_info_view";
@@ -9,16 +8,10 @@ import { Tooltip } from "antd";
 import { Team, KeyResponse } from "./key_team_helpers/key_list";
 import FilterComponent from "./molecules/filter";
 import { FilterOption } from "./molecules/filter";
-import { keyListCall, Organization, userListCall } from "./networking";
-import { createTeamSearchFunction } from "./key_team_helpers/team_search_fn";
-import { createOrgSearchFunction } from "./key_team_helpers/organization_search_fn";
+import { Organization, userListCall } from "./networking";
 import { useFilterLogic } from "./key_team_helpers/filter_logic";
 import { Setter } from "@/types";
 import { updateExistingKeys } from "@/utils/dataUtils";
-import { debounce } from "lodash";
-import { defaultPageSize } from "./constants";
-import { fetchAllTeams } from "./key_team_helpers/filter_helpers";
-import { fetchAllOrganizations } from "./key_team_helpers/filter_helpers";
 import { flexRender, getCoreRowModel, getSortedRowModel, SortingState, useReactTable } from "@tanstack/react-table";
 import { Table, TableHead, TableHeaderCell, TableBody, TableRow, TableCell, Icon } from "@tremor/react";
 import { SwitchVerticalIcon, ChevronUpIcon, ChevronDownIcon, ChevronRightIcon } from "@heroicons/react/outline";
diff --git a/ui/litellm-dashboard/src/components/budgets/budget_modal.tsx b/ui/litellm-dashboard/src/components/budgets/budget_modal.tsx
index 6ce1c01c84..3afac21aae 100644
--- a/ui/litellm-dashboard/src/components/budgets/budget_modal.tsx
+++ b/ui/litellm-dashboard/src/components/budgets/budget_modal.tsx
@@ -1,6 +1,6 @@
 import React from "react";
-import { Button, TextInput, Grid, Col, Accordion, AccordionHeader, AccordionBody } from "@tremor/react";
-import { Button as Button2, Modal, Form, Input, InputNumber, Select, message } from "antd";
+import { TextInput, Accordion, AccordionHeader, AccordionBody } from "@tremor/react";
+import { Button as Button2, Modal, Form, InputNumber, Select } from "antd";
 import { budgetCreateCall } from "../networking";
 import NotificationsManager from "../molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/budgets/budget_panel.tsx b/ui/litellm-dashboard/src/components/budgets/budget_panel.tsx
index efe14235e0..aa96b32554 100644
--- a/ui/litellm-dashboard/src/components/budgets/budget_panel.tsx
+++ b/ui/litellm-dashboard/src/components/budgets/budget_panel.tsx
@@ -4,14 +4,12 @@
  */
 
 import React, { useState, useEffect } from "react";
-import BudgetSettings from "./budget_settings";
 import BudgetModal from "./budget_modal";
 import EditBudgetModal from "./edit_budget_modal";
 import {
   Table,
   TableBody,
   TableCell,
-  TableFoot,
   TableHead,
   TableHeaderCell,
   TableRow,
@@ -24,18 +22,10 @@ import {
   TabList,
   TabPanel,
   TabPanels,
-  Grid,
 } from "@tremor/react";
 import {
-  InformationCircleIcon,
   PencilAltIcon,
-  PencilIcon,
-  StatusOnlineIcon,
   TrashIcon,
-  RefreshIcon,
-  CheckCircleIcon,
-  XCircleIcon,
-  QuestionMarkCircleIcon,
 } from "@heroicons/react/outline";
 import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
 import { getBudgetList, budgetDeleteCall } from "../networking";
diff --git a/ui/litellm-dashboard/src/components/budgets/budget_settings.tsx b/ui/litellm-dashboard/src/components/budgets/budget_settings.tsx
index 1d53e02121..eb8c5c0f33 100644
--- a/ui/litellm-dashboard/src/components/budgets/budget_settings.tsx
+++ b/ui/litellm-dashboard/src/components/budgets/budget_settings.tsx
@@ -1,45 +1,21 @@
 import React, { useState, useEffect } from "react";
 import {
   Card,
-  Title,
-  Subtitle,
   Table,
   TableHead,
   TableRow,
-  Badge,
   TableHeaderCell,
   TableCell,
   TableBody,
-  Metric,
   Text,
-  Grid,
   Button,
-  TextInput,
-  Select as Select2,
-  SelectItem,
-  Col,
-  Accordion,
-  AccordionBody,
-  AccordionHeader,
-  AccordionList,
 } from "@tremor/react";
-import { TabPanel, TabPanels, TabGroup, TabList, Tab, Icon } from "@tremor/react";
+import { Icon } from "@tremor/react";
 import { getBudgetSettings } from "../networking";
-import { Modal, Form, Input, Select, Button as Button2, message, InputNumber } from "antd";
+import { InputNumber } from "antd";
 import {
-  InformationCircleIcon,
-  PencilAltIcon,
-  PencilIcon,
-  StatusOnlineIcon,
   TrashIcon,
-  RefreshIcon,
-  CheckCircleIcon,
-  XCircleIcon,
-  QuestionMarkCircleIcon,
 } from "@heroicons/react/outline";
-import AddFallbacks from "../add_fallbacks";
-import openai from "openai";
-import Paragraph from "antd/es/skeleton/Paragraph";
 
 interface BudgetSettingsPageProps {
   accessToken: string | null;
diff --git a/ui/litellm-dashboard/src/components/budgets/edit_budget_modal.tsx b/ui/litellm-dashboard/src/components/budgets/edit_budget_modal.tsx
index d229148c66..a186c67dd8 100644
--- a/ui/litellm-dashboard/src/components/budgets/edit_budget_modal.tsx
+++ b/ui/litellm-dashboard/src/components/budgets/edit_budget_modal.tsx
@@ -1,6 +1,6 @@
 import React, { useEffect } from "react";
-import { Button, TextInput, Grid, Col, Accordion, AccordionHeader, AccordionBody } from "@tremor/react";
-import { Button as Button2, Modal, Form, Input, InputNumber, Select, message } from "antd";
+import { TextInput, Accordion, AccordionHeader, AccordionBody } from "@tremor/react";
+import { Button as Button2, Modal, Form, InputNumber, Select } from "antd";
 import { budgetUpdateCall } from "../networking";
 import { budgetItem } from "./budget_panel";
 import NotificationsManager from "../molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/bulk_create_users_button.tsx b/ui/litellm-dashboard/src/components/bulk_create_users_button.tsx
index bf789a42ad..981683cf54 100644
--- a/ui/litellm-dashboard/src/components/bulk_create_users_button.tsx
+++ b/ui/litellm-dashboard/src/components/bulk_create_users_button.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
 import { Button as TremorButton, Text } from "@tremor/react";
-import { Modal, Table, Upload, message, Alert, Typography } from "antd";
+import { Modal, Table, Upload, Typography } from "antd";
 import {
   UploadOutlined,
   DownloadOutlined,
@@ -13,7 +13,6 @@ import { userCreateCall, invitationCreateCall, getProxyUISettings } from "./netw
 import Papa from "papaparse";
 import { CheckCircleIcon, XCircleIcon, ExclamationIcon } from "@heroicons/react/outline";
 import { CopyToClipboard } from "react-copy-to-clipboard";
-import { InvitationLink } from "./onboarding_link";
 import NotificationsManager from "./molecules/notifications_manager";
 
 interface BulkCreateUsersProps {
diff --git a/ui/litellm-dashboard/src/components/bulk_edit_user.tsx b/ui/litellm-dashboard/src/components/bulk_edit_user.tsx
index 4e3f7df95d..b3847911cc 100644
--- a/ui/litellm-dashboard/src/components/bulk_edit_user.tsx
+++ b/ui/litellm-dashboard/src/components/bulk_edit_user.tsx
@@ -1,19 +1,16 @@
 import React, { useState } from "react";
 import {
-  Button as Button2,
   Modal,
   Typography,
   Divider,
   message,
   Table,
   Select,
-  Form,
   InputNumber,
   Card,
   Space,
   Checkbox,
 } from "antd";
-import { Button } from "@tremor/react";
 import { userBulkUpdateUserCall, teamBulkMemberAddCall, Member } from "./networking";
 import { UserEditView } from "./user_edit_view";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/cache_dashboard.tsx b/ui/litellm-dashboard/src/components/cache_dashboard.tsx
index afb506e8ae..1713e4b046 100644
--- a/ui/litellm-dashboard/src/components/cache_dashboard.tsx
+++ b/ui/litellm-dashboard/src/components/cache_dashboard.tsx
@@ -1,33 +1,26 @@
 import React, { useState, useEffect } from "react";
 import {
   Card,
-  Title,
   BarChart,
   Subtitle,
   Grid,
   Col,
-  Select,
-  SelectItem,
-  DateRangePicker,
   DateRangePickerValue,
   MultiSelect,
   MultiSelectItem,
-  Button,
   TabPanel,
   TabPanels,
   TabGroup,
   TabList,
   Tab,
-  TextInput,
   Icon,
   Text,
 } from "@tremor/react";
 import UsageDatePicker from "./shared/usage_date_picker";
 import NotificationsManager from "./molecules/notifications_manager";
 
-import { Button as Button2, message } from "antd";
-import { RefreshIcon, CheckCircleIcon, XCircleIcon } from "@heroicons/react/outline";
-import { adminGlobalCacheActivity, cachingHealthCheckCall, healthCheckCall } from "./networking";
+import { RefreshIcon } from "@heroicons/react/outline";
+import { adminGlobalCacheActivity, cachingHealthCheckCall } from "./networking";
 
 // Import the new component
 import { CacheHealthTab } from "./cache_health";
diff --git a/ui/litellm-dashboard/src/components/cache_health.tsx b/ui/litellm-dashboard/src/components/cache_health.tsx
index f07e7cddb6..92bbc14846 100644
--- a/ui/litellm-dashboard/src/components/cache_health.tsx
+++ b/ui/litellm-dashboard/src/components/cache_health.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Card, Text, Button, TabGroup, TabList, Tab, TabPanel, TabPanels } from "@tremor/react";
+import { Text, Button, TabGroup, TabList, Tab, TabPanel, TabPanels } from "@tremor/react";
 import { CheckCircleIcon, XCircleIcon, ClipboardCopyIcon } from "@heroicons/react/outline";
 import { ResponseTimeIndicator } from "./response_time_indicator";
 
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ChatImageUpload.tsx b/ui/litellm-dashboard/src/components/chat_ui/ChatImageUpload.tsx
index a4e1a44f75..55527d997a 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ChatImageUpload.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ChatImageUpload.tsx
@@ -1,6 +1,6 @@
 import React from "react";
 import { Upload, Tooltip } from "antd";
-import { PaperClipOutlined, DeleteOutlined } from "@ant-design/icons";
+import { PaperClipOutlined } from "@ant-design/icons";
 
 const { Dragger } = Upload;
 
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx
index b596ad6c6c..ab288c3698 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx
@@ -3,28 +3,13 @@ import ReactMarkdown from "react-markdown";
 import {
   Card,
   Title,
-  Table,
-  TableHead,
-  TableRow,
-  TableCell,
-  TableBody,
-  Grid,
-  Tab,
-  TabGroup,
-  TabList,
-  TabPanel,
-  TabPanels,
-  Metric,
-  Col,
   Text,
-  SelectItem,
   TextInput,
   Button as TremorButton,
-  Divider,
 } from "@tremor/react";
 import { v4 as uuidv4 } from "uuid";
 
-import { message, Select, Spin, Typography, Tooltip, Input, Upload, Modal, Button } from "antd";
+import { Select, Spin, Typography, Tooltip, Input, Upload, Modal, Button } from "antd";
 import { makeOpenAIChatCompletionRequest } from "./llm_calls/chat_completion";
 import { makeOpenAIImageGenerationRequest } from "./llm_calls/image_generation";
 import { makeOpenAIImageEditsRequest } from "./llm_calls/image_edits";
@@ -33,28 +18,26 @@ import { makeAnthropicMessagesRequest } from "./llm_calls/anthropic_messages";
 import { fetchAvailableModels, ModelGroup } from "./llm_calls/fetch_models";
 import { fetchAvailableMCPTools } from "./llm_calls/fetch_mcp_tools";
 import type { MCPTool } from "./llm_calls/fetch_mcp_tools";
-import { litellmModeMapping, ModelMode, EndpointType, getEndpointType } from "./mode_endpoint_mapping";
+import { EndpointType } from "./mode_endpoint_mapping";
 import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
 import { coy } from "react-syntax-highlighter/dist/esm/styles/prism";
 import EndpointSelector from "./EndpointSelector";
 import TagSelector from "../tag_management/TagSelector";
 import VectorStoreSelector from "../vector_store_management/VectorStoreSelector";
 import GuardrailSelector from "../guardrails/GuardrailSelector";
-import { determineEndpointType } from "./EndpointUtils";
 import { generateCodeSnippet } from "./CodeSnippets";
 import { MessageType } from "./types";
 import ReasoningContent from "./ReasoningContent";
 import ResponseMetrics, { TokenUsage } from "./ResponseMetrics";
 import ResponsesImageUpload from "./ResponsesImageUpload";
 import ResponsesImageRenderer from "./ResponsesImageRenderer";
-import { convertImageToBase64, createMultimodalMessage, createDisplayMessage } from "./ResponsesImageUtils";
+import { createMultimodalMessage, createDisplayMessage } from "./ResponsesImageUtils";
 import ChatImageUpload from "./ChatImageUpload";
 import ChatImageRenderer from "./ChatImageRenderer";
 import { createChatMultimodalMessage, createChatDisplayMessage } from "./ChatImageUtils";
 import SessionManagement from "./SessionManagement";
 import MCPEventsDisplay, { MCPEvent } from "./MCPEventsDisplay";
 import {
-  SendOutlined,
   ApiOutlined,
   KeyOutlined,
   ClearOutlined,
@@ -66,7 +49,6 @@ import {
   DatabaseOutlined,
   InfoCircleOutlined,
   SafetyOutlined,
-  UploadOutlined,
   PictureOutlined,
   CodeOutlined,
   ToolOutlined,
diff --git a/ui/litellm-dashboard/src/components/chat_ui/EndpointUtils.tsx b/ui/litellm-dashboard/src/components/chat_ui/EndpointUtils.tsx
index 1645bceab1..c1f26e01b4 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/EndpointUtils.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/EndpointUtils.tsx
@@ -1,5 +1,5 @@
 import { ModelGroup } from "./llm_calls/fetch_models";
-import { ModelMode, EndpointType, getEndpointType } from "./mode_endpoint_mapping";
+import { EndpointType, getEndpointType } from "./mode_endpoint_mapping";
 
 /**
  * Determines the appropriate endpoint type based on the selected model
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ReasoningContent.tsx b/ui/litellm-dashboard/src/components/chat_ui/ReasoningContent.tsx
index ee438b6b09..133569cc2e 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ReasoningContent.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ReasoningContent.tsx
@@ -1,5 +1,5 @@
 import React, { useState } from "react";
-import { Button, Collapse } from "antd";
+import { Button } from "antd";
 import ReactMarkdown from "react-markdown";
 import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
 import { coy } from "react-syntax-highlighter/dist/esm/styles/prism";
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ResponseMetrics.tsx b/ui/litellm-dashboard/src/components/chat_ui/ResponseMetrics.tsx
index 335208dbca..fc83aa0659 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ResponseMetrics.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ResponseMetrics.tsx
@@ -5,7 +5,6 @@ import {
   NumberOutlined,
   ImportOutlined,
   ExportOutlined,
-  ThunderboltOutlined,
   BulbOutlined,
   ToolOutlined,
 } from "@ant-design/icons";
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ResponsesImageUpload.tsx b/ui/litellm-dashboard/src/components/chat_ui/ResponsesImageUpload.tsx
index 345e7ad75c..d5abf13a7d 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ResponsesImageUpload.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ResponsesImageUpload.tsx
@@ -1,6 +1,6 @@
 import React from "react";
 import { Upload, Tooltip } from "antd";
-import { PaperClipOutlined, DeleteOutlined } from "@ant-design/icons";
+import { PaperClipOutlined } from "@ant-design/icons";
 
 const { Dragger } = Upload;
 
diff --git a/ui/litellm-dashboard/src/components/chat_ui/SessionManagement.tsx b/ui/litellm-dashboard/src/components/chat_ui/SessionManagement.tsx
index 88dcb98b22..3b65d974c8 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/SessionManagement.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/SessionManagement.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Switch, Tooltip, message } from "antd";
+import { Switch, Tooltip } from "antd";
 import { InfoCircleOutlined, CopyOutlined } from "@ant-design/icons";
 import { EndpointType } from "./mode_endpoint_mapping";
 import NotificationsManager from "../molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/anthropic_messages.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/anthropic_messages.tsx
index 73107d2472..a300425d8f 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/anthropic_messages.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/anthropic_messages.tsx
@@ -1,4 +1,3 @@
-import { message } from "antd";
 import Anthropic from "@anthropic-ai/sdk";
 import { MessageType } from "../types";
 import { TokenUsage } from "../ResponseMetrics";
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx
index 646c0ab9ad..44aea48986 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx
@@ -1,6 +1,5 @@
 import openai from "openai";
 import { ChatCompletionMessageParam } from "openai/resources/chat/completions";
-import { message } from "antd";
 import { TokenUsage } from "../ResponseMetrics";
 import { getProxyBaseUrl } from "@/components/networking";
 
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/fetch_mcp_tools.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/fetch_mcp_tools.tsx
index 4c8f953d87..d89ecbfb48 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/fetch_mcp_tools.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/fetch_mcp_tools.tsx
@@ -1,6 +1,4 @@
-import NotificationManager from "@/components/molecules/notifications_manager";
 import { mcpToolsCall } from "../../networking";
-import { message } from "antd";
 
 export interface MCPTool {
   name: string;
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_edits.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_edits.tsx
index 5b309a296a..504798ae8b 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_edits.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_edits.tsx
@@ -1,5 +1,4 @@
 import openai from "openai";
-import { message } from "antd";
 import { getProxyBaseUrl } from "@/components/networking";
 import NotificationManager from "@/components/molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_generation.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_generation.tsx
index d8c650bd71..4eb8ea1b55 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_generation.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/image_generation.tsx
@@ -1,5 +1,4 @@
 import openai from "openai";
-import { message } from "antd";
 import { getProxyBaseUrl } from "@/components/networking";
 import NotificationManager from "@/components/molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/responses_api.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/responses_api.tsx
index e77c78b380..0b1366feeb 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/responses_api.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/responses_api.tsx
@@ -1,9 +1,7 @@
 import openai from "openai";
-import { message } from "antd";
 import { MessageType } from "../types";
 import { TokenUsage } from "../ResponseMetrics";
 import { getProxyBaseUrl } from "@/components/networking";
-import { MCPTool } from "@/components/chat_ui/llm_calls/fetch_mcp_tools";
 import NotificationManager from "@/components/molecules/notifications_manager";
 import { MCPEvent } from "../MCPEventsDisplay";
 
diff --git a/ui/litellm-dashboard/src/components/cloudzero_export_modal.tsx b/ui/litellm-dashboard/src/components/cloudzero_export_modal.tsx
index 9bcde05bce..575cb0b89b 100644
--- a/ui/litellm-dashboard/src/components/cloudzero_export_modal.tsx
+++ b/ui/litellm-dashboard/src/components/cloudzero_export_modal.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
-import { Card, Title, Text, Button, Callout, TextInput } from "@tremor/react";
-import { Modal, Form, Input, message, Spin, Select } from "antd";
+import { Text, Button, Callout, TextInput } from "@tremor/react";
+import { Modal, Form, Spin, Select } from "antd";
 import NotificationsManager from "./molecules/notifications_manager";
 
 interface CloudZeroExportModalProps {
diff --git a/ui/litellm-dashboard/src/components/common_components/AutoRotationView.tsx b/ui/litellm-dashboard/src/components/common_components/AutoRotationView.tsx
index 937d1f9d4c..d6445d1472 100644
--- a/ui/litellm-dashboard/src/components/common_components/AutoRotationView.tsx
+++ b/ui/litellm-dashboard/src/components/common_components/AutoRotationView.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Card, Text, Badge } from "@tremor/react";
+import { Text, Badge } from "@tremor/react";
 import { RefreshIcon, ClockIcon } from "@heroicons/react/outline";
 
 interface AutoRotationViewProps {
diff --git a/ui/litellm-dashboard/src/components/common_components/ModelAliasManager.tsx b/ui/litellm-dashboard/src/components/common_components/ModelAliasManager.tsx
index d1fc6f6b1b..b4b1fa779c 100644
--- a/ui/litellm-dashboard/src/components/common_components/ModelAliasManager.tsx
+++ b/ui/litellm-dashboard/src/components/common_components/ModelAliasManager.tsx
@@ -1,5 +1,4 @@
 import React, { useState, useEffect } from "react";
-import { message } from "antd";
 import { PlusCircleIcon, PencilIcon, TrashIcon } from "@heroicons/react/outline";
 import { Card, Title, Text, Table, TableHead, TableHeaderCell, TableBody, TableRow, TableCell } from "@tremor/react";
 import ModelSelector from "./ModelSelector";
diff --git a/ui/litellm-dashboard/src/components/common_components/all_view.tsx b/ui/litellm-dashboard/src/components/common_components/all_view.tsx
index 408133ec4d..3da292c35c 100644
--- a/ui/litellm-dashboard/src/components/common_components/all_view.tsx
+++ b/ui/litellm-dashboard/src/components/common_components/all_view.tsx
@@ -9,7 +9,6 @@ import {
   Text,
   Badge,
   Icon,
-  Button,
   Card,
 } from "@tremor/react";
 import { Tooltip } from "antd";
diff --git a/ui/litellm-dashboard/src/components/common_components/fetch_teams.tsx b/ui/litellm-dashboard/src/components/common_components/fetch_teams.tsx
index 049652764c..2c03f03db5 100644
--- a/ui/litellm-dashboard/src/components/common_components/fetch_teams.tsx
+++ b/ui/litellm-dashboard/src/components/common_components/fetch_teams.tsx
@@ -1,4 +1,4 @@
-import { teamListCall, DEFAULT_ORGANIZATION, Organization } from "../networking";
+import { teamListCall, Organization } from "../networking";
 
 export const fetchTeams = async (
   accessToken: string,
diff --git a/ui/litellm-dashboard/src/components/common_components/user_form.tsx b/ui/litellm-dashboard/src/components/common_components/user_form.tsx
index bac8d49390..3f7590ac59 100644
--- a/ui/litellm-dashboard/src/components/common_components/user_form.tsx
+++ b/ui/litellm-dashboard/src/components/common_components/user_form.tsx
@@ -1,6 +1,6 @@
 import React from "react";
 import { Select, TextInput } from "@tremor/react";
-import { Form, Radio, Select as AntSelect } from "antd";
+import { Form, Select as AntSelect } from "antd";
 import TeamDropdown from "./team_dropdown";
 import { getPossibleUserRoles } from "../networking";
 import TextArea from "antd/es/input/TextArea";
diff --git a/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx b/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx
index e5a6f60a7b..403070c6fb 100644
--- a/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx
+++ b/ui/litellm-dashboard/src/components/common_components/user_search_modal.tsx
@@ -2,7 +2,6 @@ import { useState, useCallback } from "react";
 import { Modal, Form, Button, Select, Tooltip } from "antd";
 import debounce from "lodash/debounce";
 import { userFilterUICall } from "@/components/networking";
-import { InfoCircleOutlined } from "@ant-design/icons";
 interface User {
   user_id: string;
   user_email: string;
diff --git a/ui/litellm-dashboard/src/components/create_user_button.tsx b/ui/litellm-dashboard/src/components/create_user_button.tsx
index 70393458b2..9973c2e777 100644
--- a/ui/litellm-dashboard/src/components/create_user_button.tsx
+++ b/ui/litellm-dashboard/src/components/create_user_button.tsx
@@ -1,6 +1,5 @@
 import React, { useState, useEffect } from "react";
-import { useRouter } from "next/navigation";
-import { Button, Modal, Form, Input, message, Select, InputNumber, Select as Select2 } from "antd";
+import { Button, Modal, Form, Input, Select, Select as Select2 } from "antd";
 import {
   Button as Button2,
   Text,
diff --git a/ui/litellm-dashboard/src/components/dashboard_default_team.tsx b/ui/litellm-dashboard/src/components/dashboard_default_team.tsx
index da8986bc82..36805b8912 100644
--- a/ui/litellm-dashboard/src/components/dashboard_default_team.tsx
+++ b/ui/litellm-dashboard/src/components/dashboard_default_team.tsx
@@ -4,7 +4,7 @@ import { ProxySettings, UserInfo } from "./user_dashboard";
 import { getProxyUISettings } from "./networking";
 
 interface DashboardTeamProps {
-  teams: Object[] | null;
+  teams: object[] | null;
   setSelectedTeam: React.Dispatch<React.SetStateAction<any | null>>;
   userRole: string | null;
   proxySettings: ProxySettings | null;
@@ -17,7 +17,7 @@ interface DashboardTeamProps {
 type TeamInterface = {
   models: any[];
   team_id: null;
-  team_alias: String;
+  team_alias: string;
   max_budget: number | null;
 };
 
diff --git a/ui/litellm-dashboard/src/components/delete_model_button.tsx b/ui/litellm-dashboard/src/components/delete_model_button.tsx
index 6e0aa30c49..c6b6b7ba79 100644
--- a/ui/litellm-dashboard/src/components/delete_model_button.tsx
+++ b/ui/litellm-dashboard/src/components/delete_model_button.tsx
@@ -3,7 +3,7 @@
 import React, { useState } from "react";
 import { Grid, Col, Icon } from "@tremor/react";
 import { Title } from "@tremor/react";
-import { Modal, message } from "antd";
+import { Modal } from "antd";
 import { modelDeleteCall } from "./networking";
 import { TrashIcon } from "@heroicons/react/outline";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index d1bc8860c6..72cc14b645 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -1,5 +1,5 @@
 import React, { useEffect, useState } from "react";
-import { Modal, Form, Button, Select as AntdSelect, message } from "antd";
+import { Modal, Form, Button, Select as AntdSelect } from "antd";
 import { Text, TextInput } from "@tremor/react";
 import { modelAvailableCall, modelPatchUpdateCall } from "../networking";
 import { fetchAvailableModels, ModelGroup } from "../chat_ui/llm_calls/fetch_models";
diff --git a/ui/litellm-dashboard/src/components/edit_model/edit_model_modal.tsx b/ui/litellm-dashboard/src/components/edit_model/edit_model_modal.tsx
index b4765c4541..88753b7df3 100644
--- a/ui/litellm-dashboard/src/components/edit_model/edit_model_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_model/edit_model_modal.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Modal, Form, InputNumber, message } from "antd";
+import { Modal, Form, InputNumber } from "antd";
 import { TextInput } from "@tremor/react";
 import { Button as Button2 } from "antd";
 import { modelUpdateCall } from "../networking";
diff --git a/ui/litellm-dashboard/src/components/edit_user.tsx b/ui/litellm-dashboard/src/components/edit_user.tsx
index a2a9999070..041d4c36a8 100644
--- a/ui/litellm-dashboard/src/components/edit_user.tsx
+++ b/ui/litellm-dashboard/src/components/edit_user.tsx
@@ -1,7 +1,7 @@
 import { useEffect, useState } from "react";
-import { Dialog, DialogPanel, TextInput, Button, Select, SelectItem, Text, Title, Subtitle } from "@tremor/react";
+import { TextInput, SelectItem } from "@tremor/react";
 
-import { Button as Button2, Modal, Form, Input, Select as Select2, message, InputNumber } from "antd";
+import { Button as Button2, Modal, Form, Select as Select2, InputNumber } from "antd";
 
 import NumericalInput from "./shared/numerical_input";
 import BudgetDurationDropdown from "./common_components/budget_duration_dropdown";
diff --git a/ui/litellm-dashboard/src/components/email_events/email_event_settings.tsx b/ui/litellm-dashboard/src/components/email_events/email_event_settings.tsx
index 175f84d480..8d0555f17b 100644
--- a/ui/litellm-dashboard/src/components/email_events/email_event_settings.tsx
+++ b/ui/litellm-dashboard/src/components/email_events/email_event_settings.tsx
@@ -1,5 +1,5 @@
 import React, { useState, useEffect } from "react";
-import { Card, Text, Grid, Button } from "@tremor/react";
+import { Card, Text, Button } from "@tremor/react";
 import { Typography, Divider, Spin, Checkbox } from "antd";
 import NotificationsManager from "../molecules/notifications_manager";
 import { getEmailEventSettings, updateEmailEventSettings, resetEmailEventSettings } from "../networking";
diff --git a/ui/litellm-dashboard/src/components/email_settings.tsx b/ui/litellm-dashboard/src/components/email_settings.tsx
index d4efe86cef..53d08ad64f 100644
--- a/ui/litellm-dashboard/src/components/email_settings.tsx
+++ b/ui/litellm-dashboard/src/components/email_settings.tsx
@@ -1,4 +1,4 @@
-import React, { useState, useEffect } from "react";
+import React from "react";
 import { Card, Text, Grid, Button, TextInput, TableCell } from "@tremor/react";
 import { Typography } from "antd";
 import NotificationManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/general_settings.tsx b/ui/litellm-dashboard/src/components/general_settings.tsx
index 3d9829104c..f7a6781d36 100644
--- a/ui/litellm-dashboard/src/components/general_settings.tsx
+++ b/ui/litellm-dashboard/src/components/general_settings.tsx
@@ -2,7 +2,6 @@ import React, { useState, useEffect } from "react";
 import {
   Card,
   Title,
-  Subtitle,
   Table,
   TableHead,
   TableRow,
@@ -10,7 +9,6 @@ import {
   TableHeaderCell,
   TableCell,
   TableBody,
-  Metric,
   Text,
   Grid,
   Button,
@@ -21,33 +19,20 @@ import {
   Accordion,
   AccordionBody,
   AccordionHeader,
-  AccordionList,
 } from "@tremor/react";
 import { TabPanel, TabPanels, TabGroup, TabList, Tab, Icon } from "@tremor/react";
 import {
   getCallbacksCall,
   setCallbacksCall,
   getGeneralSettingsCall,
-  serviceHealthCheck,
   updateConfigFieldSetting,
   deleteConfigFieldSetting,
 } from "./networking";
-import { Modal, Form, Input, Select, Button as Button2, message, InputNumber } from "antd";
-import {
-  InformationCircleIcon,
-  PencilAltIcon,
-  PencilIcon,
-  StatusOnlineIcon,
-  TrashIcon,
-  RefreshIcon,
-  CheckCircleIcon,
-  XCircleIcon,
-  QuestionMarkCircleIcon,
-} from "@heroicons/react/outline";
+import { Form, InputNumber } from "antd";
+import { TrashIcon, CheckCircleIcon } from "@heroicons/react/outline";
 
 import AddFallbacks from "./add_fallbacks";
 import openai from "openai";
-import Paragraph from "antd/es/skeleton/Paragraph";
 import NotificationsManager from "./molecules/notifications_manager";
 interface GeneralSettingsPageProps {
   accessToken: string | null;
@@ -503,7 +488,7 @@ const GeneralSettings: React.FC<GeneralSettingsPageProps> = ({ accessToken, user
 
               <TableBody>
                 {routerSettings["fallbacks"] &&
-                  routerSettings["fallbacks"].map((item: Object, index: number) =>
+                  routerSettings["fallbacks"].map((item: object, index: number) =>
                     Object.entries(item).map(([key, value]) => (
                       <TableRow key={index.toString() + key}>
                         <TableCell>{key}</TableCell>
diff --git a/ui/litellm-dashboard/src/components/generic_key_value_manager.tsx b/ui/litellm-dashboard/src/components/generic_key_value_manager.tsx
index b2eecec593..b1499ba19d 100644
--- a/ui/litellm-dashboard/src/components/generic_key_value_manager.tsx
+++ b/ui/litellm-dashboard/src/components/generic_key_value_manager.tsx
@@ -1,7 +1,6 @@
-import React, { useState, useEffect, useCallback } from "react";
+import React, { useState, useCallback } from "react";
 import { Card, Title, Text, Table, TableHead, TableRow, TableHeaderCell, TableCell, TableBody } from "@tremor/react";
-import { message, Input } from "antd";
-import { EditOutlined, DeleteOutlined, SaveOutlined, CloseOutlined } from "@ant-design/icons";
+import { Input } from "antd";
 import { ChevronDownIcon, ChevronRightIcon, PlusCircleIcon } from "@heroicons/react/outline";
 import NotificationManager from "./molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/guardrails.tsx b/ui/litellm-dashboard/src/components/guardrails.tsx
index 1ab90aadd0..605770831d 100644
--- a/ui/litellm-dashboard/src/components/guardrails.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails.tsx
@@ -1,7 +1,6 @@
 import React, { useState, useEffect } from "react";
-import { Card, Text, Button, Icon, TextInput } from "@tremor/react";
-import { PlusIcon } from "@heroicons/react/outline";
-import { Modal, message } from "antd";
+import { Button } from "@tremor/react";
+import { Modal } from "antd";
 import { getGuardrailsList, deleteGuardrailCall } from "./networking";
 import AddGuardrailForm from "./guardrails/add_guardrail_form";
 import GuardrailTable from "./guardrails/guardrail_table";
diff --git a/ui/litellm-dashboard/src/components/guardrails/GuardrailSelector.tsx b/ui/litellm-dashboard/src/components/guardrails/GuardrailSelector.tsx
index 4c9918dd9f..9d72e86c2f 100644
--- a/ui/litellm-dashboard/src/components/guardrails/GuardrailSelector.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/GuardrailSelector.tsx
@@ -1,6 +1,5 @@
 import React, { useEffect, useState } from "react";
-import { Select, Typography, Tooltip } from "antd";
-import { InfoCircleOutlined } from "@ant-design/icons";
+import { Select } from "antd";
 import { Guardrail } from "./types";
 import { getGuardrailsList } from "../networking";
 
diff --git a/ui/litellm-dashboard/src/components/guardrails/add_guardrail_form.tsx b/ui/litellm-dashboard/src/components/guardrails/add_guardrail_form.tsx
index c7153b17b7..c416cdd7f7 100644
--- a/ui/litellm-dashboard/src/components/guardrails/add_guardrail_form.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/add_guardrail_form.tsx
@@ -1,24 +1,7 @@
 import React, { useState, useEffect } from "react";
-import {
-  Card,
-  Form,
-  Typography,
-  Select,
-  Input,
-  Switch,
-  Tooltip,
-  Modal,
-  message,
-  Divider,
-  Space,
-  Tag,
-  Image,
-  Steps,
-} from "antd";
+import { Form, Typography, Select, Modal, Tag, Steps } from "antd";
 import { Button, TextInput } from "@tremor/react";
-import type { FormInstance } from "antd";
 import {
-  GuardrailProviders,
   guardrail_provider_map,
   shouldRenderPIIConfigSettings,
   guardrailLogoMap,
diff --git a/ui/litellm-dashboard/src/components/guardrails/azure_text_moderation_example.tsx b/ui/litellm-dashboard/src/components/guardrails/azure_text_moderation_example.tsx
index 61f5f906d3..9ff867b111 100644
--- a/ui/litellm-dashboard/src/components/guardrails/azure_text_moderation_example.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/azure_text_moderation_example.tsx
@@ -1,7 +1,6 @@
 import React, { useState } from "react";
-import { Button, Space, Card, message } from "antd";
+import { Button, Space, Card } from "antd";
 import AzureTextModerationConfiguration from "./azure_text_moderation_configuration";
-import { AZURE_TEXT_MODERATION_CATEGORIES } from "./azure_text_moderation_types";
 import NotificationsManager from "../molecules/notifications_manager";
 
 /**
diff --git a/ui/litellm-dashboard/src/components/guardrails/edit_guardrail_form.tsx b/ui/litellm-dashboard/src/components/guardrails/edit_guardrail_form.tsx
index 0560cdaa77..caa197e0cd 100644
--- a/ui/litellm-dashboard/src/components/guardrails/edit_guardrail_form.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/edit_guardrail_form.tsx
@@ -1,12 +1,7 @@
 import React, { useState, useEffect } from "react";
-import { Form, Typography, Select, Input, Switch, Modal, message, Divider } from "antd";
+import { Form, Typography, Select, Input, Switch, Modal } from "antd";
 import { Button, TextInput } from "@tremor/react";
-import {
-  GuardrailProviders,
-  guardrail_provider_map,
-  guardrailLogoMap,
-  getGuardrailProviders,
-} from "./guardrail_info_helpers";
+import { guardrail_provider_map, guardrailLogoMap, getGuardrailProviders } from "./guardrail_info_helpers";
 import { getGuardrailUISettings } from "../networking";
 import PiiConfiguration from "./pii_configuration";
 import NotificationsManager from "../molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/guardrails/guardrail_info.tsx b/ui/litellm-dashboard/src/components/guardrails/guardrail_info.tsx
index 39057fc0c8..27292f4160 100644
--- a/ui/litellm-dashboard/src/components/guardrails/guardrail_info.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/guardrail_info.tsx
@@ -13,8 +13,7 @@ import {
   TabPanels,
   TextInput,
 } from "@tremor/react";
-import { Button, Form, Input, Select, message, Tooltip, Divider } from "antd";
-import { InfoCircleOutlined } from "@ant-design/icons";
+import { Button, Form, Input, Select, Divider } from "antd";
 import {
   getGuardrailInfo,
   updateGuardrailCall,
diff --git a/ui/litellm-dashboard/src/components/guardrails/guardrail_info_helpers.tsx b/ui/litellm-dashboard/src/components/guardrails/guardrail_info_helpers.tsx
index 3ffa5a8622..50e22d8621 100644
--- a/ui/litellm-dashboard/src/components/guardrails/guardrail_info_helpers.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/guardrail_info_helpers.tsx
@@ -96,6 +96,18 @@ export const guardrailLogoMap: Record<string, string> = {
   Lakera: `${asset_logos_folder}lakeraai.jpeg`,
   "Azure Content Safety Prompt Shield": `${asset_logos_folder}presidio.png`,
   "Azure Content Safety Text Moderation": `${asset_logos_folder}presidio.png`,
+  "Aporia AI": `${asset_logos_folder}aporia.png`,
+  "PANW Prisma AIRS": `${asset_logos_folder}palo_alto_networks.jpeg`,
+  "Noma Security": `${asset_logos_folder}noma_security.png`,
+  "Javelin Guardrails": `${asset_logos_folder}javelin.png`,
+  "Pillar Guardrail": `${asset_logos_folder}pillar.jpeg`,
+  "Google Cloud Model Armor": `${asset_logos_folder}google.svg`,
+  "Guardrails AI": `${asset_logos_folder}guardrails_ai.jpeg`,
+  "Lasso Guardrail": `${asset_logos_folder}lasso.png`,
+  "Pangea Guardrail": `${asset_logos_folder}pangea.png`,
+  "AIM Guardrail": `${asset_logos_folder}aim_security.jpeg`,
+  "OpenAI Moderation": `${asset_logos_folder}openai_small.svg`,
+  EnkryptAI: `${asset_logos_folder}enkrypt_ai.avif`,
 };
 
 export const getGuardrailLogoAndName = (guardrailValue: string): { logo: string; displayName: string } => {
diff --git a/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_fields.tsx b/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_fields.tsx
index dcf30b326f..2276b22a23 100644
--- a/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_fields.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_fields.tsx
@@ -2,7 +2,6 @@ import React, { useState, useEffect } from "react";
 import { Form, Select, Spin } from "antd";
 import { TextInput } from "@tremor/react";
 import {
-  GuardrailProviders,
   guardrail_provider_map,
   populateGuardrailProviders,
   populateGuardrailProviderMap,
diff --git a/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_specific_fields.tsx b/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_specific_fields.tsx
index 096707a3ff..a320b404f5 100644
--- a/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_specific_fields.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/guardrail_provider_specific_fields.tsx
@@ -2,7 +2,6 @@ import React, { useState, useEffect } from "react";
 import { Form, Select, Spin } from "antd";
 import { TextInput } from "@tremor/react";
 import {
-  GuardrailProviders,
   guardrail_provider_map,
   populateGuardrailProviders,
   populateGuardrailProviderMap,
diff --git a/ui/litellm-dashboard/src/components/guardrails/pii_configuration.tsx b/ui/litellm-dashboard/src/components/guardrails/pii_configuration.tsx
index b7ca7e8d25..a8b329a893 100644
--- a/ui/litellm-dashboard/src/components/guardrails/pii_configuration.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/pii_configuration.tsx
@@ -1,7 +1,7 @@
 import React, { useState } from "react";
 import { Typography, Badge } from "antd";
 import { PiiConfigurationProps } from "./types";
-import { CategoryFilter, QuickActions, PiiEntityList, formatEntityName, getActionIcon } from "./pii_components";
+import { CategoryFilter, QuickActions, PiiEntityList } from "./pii_components";
 
 const { Title, Text } = Typography;
 
diff --git a/ui/litellm-dashboard/src/components/key_team_helpers/filter_helpers.ts b/ui/litellm-dashboard/src/components/key_team_helpers/filter_helpers.ts
index 14bf95f324..fa12a75aac 100644
--- a/ui/litellm-dashboard/src/components/key_team_helpers/filter_helpers.ts
+++ b/ui/litellm-dashboard/src/components/key_team_helpers/filter_helpers.ts
@@ -11,7 +11,7 @@ export const fetchAllKeyAliases = async (accessToken: string | null): Promise<st
   if (!accessToken) return [];
 
   try {
-    const { aliases } = await keyAliasesCall(accessToken as unknown as String);
+    const { aliases } = await keyAliasesCall(accessToken as unknown as string);
     // Defensive dedupe & null-guard
     return Array.from(new Set((aliases || []).filter(Boolean)));
   } catch (error) {
diff --git a/ui/litellm-dashboard/src/components/key_team_helpers/filter_logic.tsx b/ui/litellm-dashboard/src/components/key_team_helpers/filter_logic.tsx
index ca7f6ef7ae..a074a5484f 100644
--- a/ui/litellm-dashboard/src/components/key_team_helpers/filter_logic.tsx
+++ b/ui/litellm-dashboard/src/components/key_team_helpers/filter_logic.tsx
@@ -4,7 +4,6 @@ import { keyListCall, Organization } from "../networking";
 import { Team } from "../key_team_helpers/key_list";
 import { useQuery } from "@tanstack/react-query";
 import { fetchAllKeyAliases, fetchAllOrganizations, fetchAllTeams } from "./filter_helpers";
-import { Setter } from "@/types";
 import { debounce } from "lodash";
 import { defaultPageSize } from "../constants";
 
diff --git a/ui/litellm-dashboard/src/components/key_value_input.tsx b/ui/litellm-dashboard/src/components/key_value_input.tsx
index e7745e519a..db814f8403 100644
--- a/ui/litellm-dashboard/src/components/key_value_input.tsx
+++ b/ui/litellm-dashboard/src/components/key_value_input.tsx
@@ -1,8 +1,7 @@
 import React, { useState } from "react";
-import { Form, Input, Button, Space } from "antd";
+import { Button, Space } from "antd";
 import { MinusCircleOutlined, PlusOutlined } from "@ant-design/icons";
-import { TextInput, Grid, Col } from "@tremor/react";
-import { TrashIcon } from "@heroicons/react/outline";
+import { TextInput } from "@tremor/react";
 
 interface KeyValueInputProps {
   value?: Record<string, string>;
diff --git a/ui/litellm-dashboard/src/components/leftnav.tsx b/ui/litellm-dashboard/src/components/leftnav.tsx
index e47691d3bb..f40ae67366 100644
--- a/ui/litellm-dashboard/src/components/leftnav.tsx
+++ b/ui/litellm-dashboard/src/components/leftnav.tsx
@@ -1,8 +1,4 @@
 import { Layout, Menu } from "antd";
-import Link from "next/link";
-import { List } from "postcss/lib/list";
-import { Text, Button } from "@tremor/react";
-import { useState } from "react";
 import {
   KeyOutlined,
   PlayCircleOutlined,
@@ -16,27 +12,14 @@ import {
   AppstoreOutlined,
   DatabaseOutlined,
   FileTextOutlined,
-  LineOutlined,
   LineChartOutlined,
   SafetyOutlined,
   ExperimentOutlined,
-  ThunderboltOutlined,
-  LockOutlined,
   ToolOutlined,
   TagsOutlined,
   BgColorsOutlined,
-  MenuFoldOutlined,
-  MenuUnfoldOutlined,
 } from "@ant-design/icons";
-import {
-  old_admin_roles,
-  v2_admin_role_names,
-  all_admin_roles,
-  rolesAllowedToSeeUsage,
-  rolesWithWriteAccess,
-  internalUserRoles,
-  isAdminRole,
-} from "../utils/roles";
+import { all_admin_roles, rolesWithWriteAccess, internalUserRoles, isAdminRole } from "../utils/roles";
 import UsageIndicator from "./usage_indicator";
 import { ConfigProvider } from "antd";
 const { Sider } = Layout;
diff --git a/ui/litellm-dashboard/src/components/make_model_public_form.tsx b/ui/litellm-dashboard/src/components/make_model_public_form.tsx
index 3ae9771e1f..e67d60fb33 100644
--- a/ui/litellm-dashboard/src/components/make_model_public_form.tsx
+++ b/ui/litellm-dashboard/src/components/make_model_public_form.tsx
@@ -1,5 +1,5 @@
 import React, { useState, useCallback, useEffect } from "react";
-import { Modal, Form, Steps, Button, message, Checkbox } from "antd";
+import { Modal, Form, Steps, Button, Checkbox } from "antd";
 import { Text, Title, Badge } from "@tremor/react";
 import { makeModelGroupPublic } from "./networking";
 import ModelFilters from "./model_filters";
diff --git a/ui/litellm-dashboard/src/components/mcp_connection_test.tsx b/ui/litellm-dashboard/src/components/mcp_connection_test.tsx
index ee5b34313b..35f8bd7aa0 100644
--- a/ui/litellm-dashboard/src/components/mcp_connection_test.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_connection_test.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Typography, Space, Button, Divider, message } from "antd";
+import { Typography, Space, Button, Divider } from "antd";
 import { WarningOutlined, InfoCircleOutlined, CopyOutlined } from "@ant-design/icons";
 import { testMCPConnectionRequest } from "./networking";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/MCPPermissionManagement.tsx b/ui/litellm-dashboard/src/components/mcp_tools/MCPPermissionManagement.tsx
index b48d0409a0..e36ae16d43 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/MCPPermissionManagement.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/MCPPermissionManagement.tsx
@@ -1,4 +1,4 @@
-import React, { useState, useEffect } from "react";
+import React, { useEffect } from "react";
 import { Form, Select, Tooltip, Collapse } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { MCPServer } from "./types";
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/ToolTestPanel.tsx b/ui/litellm-dashboard/src/components/mcp_tools/ToolTestPanel.tsx
index faae96bf1f..2cabfff581 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/ToolTestPanel.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/ToolTestPanel.tsx
@@ -1,8 +1,8 @@
 import React from "react";
-import { Button, Callout, TextInput } from "@tremor/react";
+import { Button, TextInput } from "@tremor/react";
 import { MCPTool, InputSchema } from "./types";
-import { Form, Tooltip, message } from "antd";
-import { InfoCircleOutlined, ClockCircleOutlined } from "@ant-design/icons";
+import { Form, Tooltip } from "antd";
+import { InfoCircleOutlined } from "@ant-design/icons";
 import NotificationsManager from "../molecules/notifications_manager";
 
 export function ToolTestPanel({
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx
index 0939597d5d..7c19b7589a 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx
@@ -1,5 +1,5 @@
 import React, { useState } from "react";
-import { Modal, Tooltip, Form, Select, message, Button as AntdButton, Input } from "antd";
+import { Modal, Tooltip, Form, Select } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { Button, TextInput } from "@tremor/react";
 import { createMCPServer } from "../networking";
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_connect.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_connect.tsx
index d2e40a485a..8eb985e7ba 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_connect.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_connect.tsx
@@ -1,20 +1,9 @@
 /* eslint-disable react/no-unescaped-entities */
 
 import React, { useState } from "react";
-import { Card, Typography, Space, Alert, Button, message, Switch, Input, Form, Collapse } from "antd";
+import { Card, Typography, Space, Alert, Button, Switch, Form, Collapse } from "antd";
 import { TabPanel, TabPanels, TabGroup, TabList, Tab, Title as TremorTitle, Text as TremorText } from "@tremor/react";
-import {
-  CopyIcon,
-  Code,
-  Terminal,
-  Globe,
-  CheckIcon,
-  ExternalLinkIcon,
-  ShieldAlertIcon,
-  KeyIcon,
-  ServerIcon,
-  Zap,
-} from "lucide-react";
+import { CopyIcon, Code, Terminal, Globe, CheckIcon, ExternalLinkIcon, KeyIcon, ServerIcon, Zap } from "lucide-react";
 import { getProxyBaseUrl } from "../networking";
 import { copyToClipboard as utilCopyToClipboard } from "../../utils/dataUtils";
 
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx
index f9e1e3ab71..10bf7431f7 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx
@@ -1,12 +1,11 @@
 import React, { useState, useEffect } from "react";
-import { Form, Select, Button as AntdButton, message, Input, Space, Tooltip } from "antd";
+import { Form, Select, Button as AntdButton } from "antd";
 import { Button, TextInput, TabGroup, TabList, Tab, TabPanels, TabPanel } from "@tremor/react";
 import { MCPServer, MCPServerCostInfo } from "./types";
 import { updateMCPServer, testMCPToolsListRequest } from "../networking";
 import MCPServerCostConfig from "./mcp_server_cost_config";
 import MCPPermissionManagement from "./MCPPermissionManagement";
 import MCPToolConfiguration from "./mcp_tool_configuration";
-import { MinusCircleOutlined, PlusOutlined, InfoCircleOutlined } from "@ant-design/icons";
 import { validateMCPServerUrl, validateMCPServerName } from "./utils";
 import NotificationsManager from "../molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx
index b6d548d249..30ac44bd12 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
 import { useQuery } from "@tanstack/react-query";
-import { Modal, message, Select, Tooltip } from "antd";
+import { Modal, Select, Tooltip } from "antd";
 import { TabPanel, TabPanels, TabGroup, TabList, Tab, Button } from "@tremor/react";
 import { Grid, Col, Title, Text } from "@tremor/react";
 import { DataTable } from "../view_logs/table";
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_tools.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_tools.tsx
index 87dc8886f2..366b0ce880 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_tools.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_tools.tsx
@@ -3,11 +3,11 @@ import { useQuery, useMutation } from "@tanstack/react-query";
 import { ToolTestPanel } from "./ToolTestPanel";
 import { MCPTool, MCPToolsViewerProps, CallMCPToolResponse, mcpServerHasAuth } from "./types";
 import { listMCPTools, callMCPTool } from "../networking";
-import { getMCPAuthToken, setMCPAuthToken, removeMCPAuthToken, hasMCPAuthToken } from "./mcp_auth_storage";
+import { getMCPAuthToken, setMCPAuthToken, removeMCPAuthToken } from "./mcp_auth_storage";
 
-import { Modal, Input, Form, message } from "antd";
+import { Modal, Input, Form } from "antd";
 import { Button, Card, Title, Text } from "@tremor/react";
-import { RobotOutlined, ApiOutlined, KeyOutlined, SafetyOutlined, ToolOutlined } from "@ant-design/icons";
+import { RobotOutlined, SafetyOutlined, ToolOutlined } from "@ant-design/icons";
 
 import { AUTH_TYPE } from "./types";
 import NotificationsManager from "../molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/model_add/add_credentials_tab.tsx b/ui/litellm-dashboard/src/components/model_add/add_credentials_tab.tsx
index 9f750d60c9..9c061eb121 100644
--- a/ui/litellm-dashboard/src/components/model_add/add_credentials_tab.tsx
+++ b/ui/litellm-dashboard/src/components/model_add/add_credentials_tab.tsx
@@ -1,8 +1,7 @@
 import React, { useEffect, useState } from "react";
-import { Card, Form, Button, Tooltip, Typography, Select as AntdSelect, Input, Switch, Modal } from "antd";
+import { Form, Button, Tooltip, Typography, Select as AntdSelect, Modal } from "antd";
 import type { UploadProps } from "antd/es/upload";
 import { Providers, providerLogoMap } from "../provider_info_helpers";
-import type { FormInstance } from "antd";
 import ProviderSpecificFields from "../add_model/provider_specific_fields";
 import { TextInput } from "@tremor/react";
 import { CredentialItem } from "../networking";
diff --git a/ui/litellm-dashboard/src/components/model_add/credentials.tsx b/ui/litellm-dashboard/src/components/model_add/credentials.tsx
index 2e74db1ee0..1368796a67 100644
--- a/ui/litellm-dashboard/src/components/model_add/credentials.tsx
+++ b/ui/litellm-dashboard/src/components/model_add/credentials.tsx
@@ -11,27 +11,17 @@ import {
   Badge,
   Button,
 } from "@tremor/react";
-import {
-  InformationCircleIcon,
-  PencilAltIcon,
-  PencilIcon,
-  RefreshIcon,
-  StatusOnlineIcon,
-  TrashIcon,
-} from "@heroicons/react/outline";
+import { PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
 import { UploadProps } from "antd/es/upload";
-import { PlusIcon } from "@heroicons/react/solid";
 import {
-  credentialListCall,
   credentialCreateCall,
   credentialDeleteCall,
   credentialUpdateCall,
   CredentialItem,
-  CredentialsResponse,
 } from "@/components/networking"; // Assume this is your networking function
 import AddCredentialsTab from "./add_credentials_tab";
 import CredentialDeleteModal from "./CredentialDeleteModal";
-import { Form, message } from "antd";
+import { Form } from "antd";
 import NotificationsManager from "../molecules/notifications_manager";
 interface CredentialsPanelProps {
   accessToken: string | null;
diff --git a/ui/litellm-dashboard/src/components/model_add/dynamic_form.tsx b/ui/litellm-dashboard/src/components/model_add/dynamic_form.tsx
index 4c6092caa3..48c7bf5412 100644
--- a/ui/litellm-dashboard/src/components/model_add/dynamic_form.tsx
+++ b/ui/litellm-dashboard/src/components/model_add/dynamic_form.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Form, Input } from "antd";
+import { Form } from "antd";
 import { TextInput } from "@tremor/react";
 interface Field {
   field_name: string;
diff --git a/ui/litellm-dashboard/src/components/model_add/reuse_credentials.tsx b/ui/litellm-dashboard/src/components/model_add/reuse_credentials.tsx
index 0d0e35dfcc..fb0e372457 100644
--- a/ui/litellm-dashboard/src/components/model_add/reuse_credentials.tsx
+++ b/ui/litellm-dashboard/src/components/model_add/reuse_credentials.tsx
@@ -1,9 +1,5 @@
-import React, { useState } from "react";
-import { Card, Form, Button, Tooltip, Typography, Select as AntdSelect, Input, Switch, Modal } from "antd";
-import type { UploadProps } from "antd/es/upload";
-import { Providers, providerLogoMap } from "../provider_info_helpers";
-import type { FormInstance } from "antd";
-import ProviderSpecificFields from "../add_model/provider_specific_fields";
+import React from "react";
+import { Form, Button, Tooltip, Typography, Modal } from "antd";
 import { TextInput } from "@tremor/react";
 import { CredentialItem } from "../networking";
 const { Title, Link } = Typography;
diff --git a/ui/litellm-dashboard/src/components/model_dashboard/HealthCheckComponent.tsx b/ui/litellm-dashboard/src/components/model_dashboard/HealthCheckComponent.tsx
index 99fef4eedc..994ea8adfc 100644
--- a/ui/litellm-dashboard/src/components/model_dashboard/HealthCheckComponent.tsx
+++ b/ui/litellm-dashboard/src/components/model_dashboard/HealthCheckComponent.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect, useRef } from "react";
 import { Title, Text, Button, Badge } from "@tremor/react";
-import { Modal, message } from "antd";
+import { Modal } from "antd";
 import { Button as AntdButton } from "antd";
 import { ModelDataTable } from "./table";
 import { healthCheckColumns } from "./health_check_columns";
diff --git a/ui/litellm-dashboard/src/components/model_dashboard/health_check_columns.tsx b/ui/litellm-dashboard/src/components/model_dashboard/health_check_columns.tsx
index 7f89e43700..077b9d1004 100644
--- a/ui/litellm-dashboard/src/components/model_dashboard/health_check_columns.tsx
+++ b/ui/litellm-dashboard/src/components/model_dashboard/health_check_columns.tsx
@@ -1,5 +1,4 @@
 import { ColumnDef } from "@tanstack/react-table";
-import { Button, Badge } from "@tremor/react";
 import { Tooltip, Checkbox } from "antd";
 import { Text } from "@tremor/react";
 import { InformationCircleIcon, PlayIcon, RefreshIcon } from "@heroicons/react/outline";
diff --git a/ui/litellm-dashboard/src/components/model_dashboard/table.tsx b/ui/litellm-dashboard/src/components/model_dashboard/table.tsx
index 33ac80d39e..b74060db6c 100644
--- a/ui/litellm-dashboard/src/components/model_dashboard/table.tsx
+++ b/ui/litellm-dashboard/src/components/model_dashboard/table.tsx
@@ -1,4 +1,3 @@
-import { Fragment } from "react";
 import {
   ColumnDef,
   flexRender,
@@ -8,7 +7,6 @@ import {
   useReactTable,
   ColumnResizeMode,
   VisibilityState,
-  PaginationState,
 } from "@tanstack/react-table";
 import React from "react";
 import { Table, TableHead, TableHeaderCell, TableBody, TableRow, TableCell } from "@tremor/react";
diff --git a/ui/litellm-dashboard/src/components/model_group_alias_settings.tsx b/ui/litellm-dashboard/src/components/model_group_alias_settings.tsx
index c7aef9ad4f..505b26438b 100644
--- a/ui/litellm-dashboard/src/components/model_group_alias_settings.tsx
+++ b/ui/litellm-dashboard/src/components/model_group_alias_settings.tsx
@@ -1,5 +1,4 @@
 import React, { useState, useEffect } from "react";
-import { message } from "antd";
 import { PlusCircleIcon, PencilIcon, TrashIcon, ChevronDownIcon, ChevronRightIcon } from "@heroicons/react/outline";
 import { setCallbacksCall } from "./networking";
 import { Card, Title, Text, Table, TableHead, TableHeaderCell, TableBody, TableRow, TableCell } from "@tremor/react";
diff --git a/ui/litellm-dashboard/src/components/model_hub_table.tsx b/ui/litellm-dashboard/src/components/model_hub_table.tsx
index 6c40dea913..60937f0931 100644
--- a/ui/litellm-dashboard/src/components/model_hub_table.tsx
+++ b/ui/litellm-dashboard/src/components/model_hub_table.tsx
@@ -1,15 +1,15 @@
 import React, { useEffect, useState, useRef, useCallback } from "react";
-import { useRouter, useSearchParams } from "next/navigation";
-import { modelHubCall, makeModelGroupPublic, modelHubPublicModelsCall, getProxyBaseUrl } from "./networking";
-import { getConfigFieldSetting, updateConfigFieldSetting } from "./networking";
+import { useRouter } from "next/navigation";
+import { modelHubCall, modelHubPublicModelsCall, getProxyBaseUrl } from "./networking";
+import { getConfigFieldSetting } from "./networking";
 import { ModelDataTable } from "./model_dashboard/table";
 import { modelHubColumns } from "./model_hub_table_columns";
 import PublicModelHub from "./public_model_hub";
 import MakeModelPublicForm from "./make_model_public_form";
 import ModelFilters from "./model_filters";
 import UsefulLinksManagement from "./useful_links_management";
-import { Card, Text, Title, Button, Badge, Flex } from "@tremor/react";
-import { Modal, message, Tooltip } from "antd";
+import { Card, Text, Title, Button, Badge } from "@tremor/react";
+import { Modal } from "antd";
 import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
 import { Table as TableInstance } from "@tanstack/react-table";
 import { Copy } from "lucide-react";
diff --git a/ui/litellm-dashboard/src/components/model_info_view.tsx b/ui/litellm-dashboard/src/components/model_info_view.tsx
index 4773180569..89a76eb35a 100644
--- a/ui/litellm-dashboard/src/components/model_info_view.tsx
+++ b/ui/litellm-dashboard/src/components/model_info_view.tsx
@@ -9,7 +9,6 @@ import {
   TabPanel,
   TabPanels,
   Grid,
-  Badge,
   Button as TremorButton,
   TextInput,
 } from "@tremor/react";
@@ -17,22 +16,17 @@ import NumericalInput from "./shared/numerical_input";
 import { ArrowLeftIcon, TrashIcon, KeyIcon } from "@heroicons/react/outline";
 import {
   modelDeleteCall,
-  modelUpdateCall,
   CredentialItem,
   credentialGetCall,
   credentialCreateCall,
-  modelInfoCall,
   modelInfoV1Call,
   modelPatchUpdateCall,
   getGuardrailsList,
 } from "./networking";
-import { Button, Form, Input, InputNumber, message, Select, Modal, Tooltip } from "antd";
+import { Button, Form, Input, Select, Modal, Tooltip } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
-import EditModelModal from "./edit_model/edit_model_modal";
-import { handleEditModelSubmit } from "./edit_model/edit_model_modal";
 import { getProviderLogoAndName } from "./provider_info_helpers";
 import { getDisplayModelName } from "./view_model/model_name_display";
-import AddCredentialsModal from "./model_add/add_credentials_tab";
 import ReuseCredentialsModal from "./model_add/reuse_credentials";
 import CacheControlSettings from "./add_model/cache_control_settings";
 import { CheckIcon, CopyIcon } from "lucide-react";
diff --git a/ui/litellm-dashboard/src/components/model_metrics/time_to_first_token.tsx b/ui/litellm-dashboard/src/components/model_metrics/time_to_first_token.tsx
index 3f1437e1c3..a86bbf7ec0 100644
--- a/ui/litellm-dashboard/src/components/model_metrics/time_to_first_token.tsx
+++ b/ui/litellm-dashboard/src/components/model_metrics/time_to_first_token.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { LineChart, Callout, Button } from "@tremor/react";
+import { LineChart } from "@tremor/react";
 interface TimeToFirstTokenProps {
   modelMetrics: any[];
   modelMetricsCategories: string[];
diff --git a/ui/litellm-dashboard/src/components/molecules/models/columns.tsx b/ui/litellm-dashboard/src/components/molecules/models/columns.tsx
index e6abcf2be9..b94f4a2d00 100644
--- a/ui/litellm-dashboard/src/components/molecules/models/columns.tsx
+++ b/ui/litellm-dashboard/src/components/molecules/models/columns.tsx
@@ -3,9 +3,7 @@ import { Button, Badge, Icon } from "@tremor/react";
 import { Tooltip } from "antd";
 import { getProviderLogoAndName } from "../../provider_info_helpers";
 import { ModelData } from "../../model_dashboard/types";
-import { TrashIcon, PencilIcon, PencilAltIcon, KeyIcon } from "@heroicons/react/outline";
-import DeleteModelButton from "../../delete_model_button";
-import { useState } from "react";
+import { TrashIcon, KeyIcon } from "@heroicons/react/outline";
 
 export const columns = (
   userRole: string,
diff --git a/ui/litellm-dashboard/src/components/navbar.tsx b/ui/litellm-dashboard/src/components/navbar.tsx
index 37cb5a1228..0316f3bf6a 100644
--- a/ui/litellm-dashboard/src/components/navbar.tsx
+++ b/ui/litellm-dashboard/src/components/navbar.tsx
@@ -2,13 +2,10 @@ import Link from "next/link";
 import React, { useState, useEffect } from "react";
 import type { MenuProps } from "antd";
 import { Dropdown, Tooltip, Switch } from "antd";
-import { getProxyBaseUrl, Organization } from "@/components/networking";
-import { defaultOrg } from "@/components/common_components/default_org";
+import { getProxyBaseUrl } from "@/components/networking";
 import {
   UserOutlined,
   LogoutOutlined,
-  LoginOutlined,
-  BgColorsOutlined,
   CrownOutlined,
   MailOutlined,
   SafetyOutlined,
@@ -44,7 +41,7 @@ const Navbar: React.FC<NavbarProps> = ({
   accessToken,
   isPublicPage = false,
   sidebarCollapsed = false,
-  onToggleSidebar
+  onToggleSidebar,
 }) => {
   const baseUrl = getProxyBaseUrl();
   const [logoutUrl, setLogoutUrl] = useState("");
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index 0316c25363..fd479b99ab 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -8,17 +8,9 @@ export const formatDate = (date: Date) => {
 /**
  * Helper file for calls being made to proxy
  */
-import { all_admin_roles } from "@/utils/roles";
 import { message } from "antd";
 import { clearTokenCookies } from "@/utils/cookieUtils";
-import {
-  TagNewRequest,
-  TagUpdateRequest,
-  TagDeleteRequest,
-  TagInfoRequest,
-  TagListResponse,
-  TagInfoResponse,
-} from "./tag_management/types";
+import { TagNewRequest, TagUpdateRequest, TagListResponse, TagInfoResponse } from "./tag_management/types";
 import { Team } from "./key_team_helpers/key_list";
 import { UserInfo } from "./view_users/types";
 import { EmailEventSettingsResponse, EmailEventSettingsUpdateRequest } from "./email_events/types";
@@ -88,8 +80,8 @@ export const DEFAULT_ORGANIZATION = "default_organization";
 
 export interface Model {
   model_name: string;
-  litellm_params: Object;
-  model_info: Object | null;
+  litellm_params: object;
+  model_info: object | null;
 }
 
 interface PromptInfo {
@@ -98,7 +90,7 @@ interface PromptInfo {
 
 export interface PromptSpec {
   prompt_id: string;
-  litellm_params: Object;
+  litellm_params: object;
   prompt_info: PromptInfo;
   created_at?: string;
   updated_at?: string;
@@ -389,7 +381,7 @@ export const modelCreateCall = async (accessToken: string, formValues: Model) =>
   }
 };
 
-export const modelSettingsCall = async (accessToken: String) => {
+export const modelSettingsCall = async (accessToken: string) => {
   /**
    * Get all configurable params for setting a model
    */
@@ -633,7 +625,7 @@ export const invitationClaimCall = async (
   }
 };
 
-export const alertingSettingsCall = async (accessToken: String) => {
+export const alertingSettingsCall = async (accessToken: string) => {
   /**
    * Get all configurable params for setting a model
    */
@@ -856,7 +848,7 @@ export const userCreateCall = async (
   }
 };
 
-export const keyDeleteCall = async (accessToken: String, user_key: String) => {
+export const keyDeleteCall = async (accessToken: string, user_key: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/key/delete` : `/key/delete`;
     console.log("in keyDeleteCall:", user_key);
@@ -923,7 +915,7 @@ export const userDeleteCall = async (accessToken: string, userIds: string[]) =>
   }
 };
 
-export const teamDeleteCall = async (accessToken: String, teamID: String) => {
+export const teamDeleteCall = async (accessToken: string, teamID: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/team/delete` : `/team/delete`;
     console.log("in teamDeleteCall:", teamID);
@@ -964,7 +956,7 @@ export type UserListResponse = {
 };
 
 export const userListCall = async (
-  accessToken: String,
+  accessToken: string,
   userIDs: string[] | null = null,
   page: number | null = null,
   page_size: number | null = null,
@@ -1052,10 +1044,10 @@ export const userListCall = async (
 };
 
 export const userInfoCall = async (
-  accessToken: String,
-  userID: String | null,
-  userRole: String,
-  viewAll: Boolean = false,
+  accessToken: string,
+  userID: string | null,
+  userRole: string,
+  viewAll: boolean = false,
   page: number | null,
   page_size: number | null,
   lookup_user_id: boolean = false,
@@ -1106,7 +1098,7 @@ export const userInfoCall = async (
   }
 };
 
-export const teamInfoCall = async (accessToken: String, teamID: String | null) => {
+export const teamInfoCall = async (accessToken: string, teamID: string | null) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/team/info` : `/team/info`;
     if (teamID) {
@@ -1147,9 +1139,9 @@ type TeamListResponse = {
 };
 
 export const v2TeamListCall = async (
-  accessToken: String,
+  accessToken: string,
   organizationID: string | null,
-  userID: String | null = null,
+  userID: string | null = null,
   teamID: string | null = null,
   team_alias: string | null = null,
   page: number = 1,
@@ -1212,9 +1204,9 @@ export const v2TeamListCall = async (
 };
 
 export const teamListCall = async (
-  accessToken: String,
+  accessToken: string,
   organizationID: string | null,
-  userID: String | null = null,
+  userID: string | null = null,
   teamID: string | null = null,
   team_alias: string | null = null,
 ) => {
@@ -1272,7 +1264,7 @@ export const teamListCall = async (
   }
 };
 
-export const availableTeamListCall = async (accessToken: String) => {
+export const availableTeamListCall = async (accessToken: string) => {
   /**
    * Get all available teams on proxy
    */
@@ -1302,7 +1294,7 @@ export const availableTeamListCall = async (accessToken: String) => {
   }
 };
 
-export const organizationListCall = async (accessToken: String) => {
+export const organizationListCall = async (accessToken: string) => {
   /**
    * Get all organizations on proxy
    */
@@ -1331,7 +1323,7 @@ export const organizationListCall = async (accessToken: String) => {
   }
 };
 
-export const organizationInfoCall = async (accessToken: String, organizationID: String) => {
+export const organizationInfoCall = async (accessToken: string, organizationID: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/organization/info` : `/organization/info`;
     if (organizationID) {
@@ -1474,7 +1466,7 @@ export const organizationDeleteCall = async (accessToken: string, organizationID
   }
 };
 
-export const transformRequestCall = async (accessToken: String, request: object) => {
+export const transformRequestCall = async (accessToken: string, request: object) => {
   /**
    * Transform request
    */
@@ -1506,7 +1498,7 @@ export const transformRequestCall = async (accessToken: String, request: object)
   }
 };
 
-export const userDailyActivityCall = async (accessToken: String, startTime: Date, endTime: Date, page: number = 1) => {
+export const userDailyActivityCall = async (accessToken: string, startTime: Date, endTime: Date, page: number = 1) => {
   /**
    * Get daily user activity on proxy
    */
@@ -1546,7 +1538,7 @@ export const userDailyActivityCall = async (accessToken: String, startTime: Date
 };
 
 export const tagDailyActivityCall = async (
-  accessToken: String,
+  accessToken: string,
   startTime: Date,
   endTime: Date,
   page: number = 1,
@@ -1594,7 +1586,7 @@ export const tagDailyActivityCall = async (
 };
 
 export const teamDailyActivityCall = async (
-  accessToken: String,
+  accessToken: string,
   startTime: Date,
   endTime: Date,
   page: number = 1,
@@ -1642,7 +1634,7 @@ export const teamDailyActivityCall = async (
   }
 };
 
-export const getTotalSpendCall = async (accessToken: String) => {
+export const getTotalSpendCall = async (accessToken: string) => {
   /**
    * Get all models on proxy
    */
@@ -1674,7 +1666,7 @@ export const getTotalSpendCall = async (accessToken: String) => {
   }
 };
 
-export const getOnboardingCredentials = async (inviteUUID: String) => {
+export const getOnboardingCredentials = async (inviteUUID: string) => {
   /**
    * Get all models on proxy
    */
@@ -1709,7 +1701,7 @@ export const claimOnboardingToken = async (
   accessToken: string,
   inviteUUID: string,
   userID: string,
-  password: String,
+  password: string,
 ) => {
   const url = proxyBaseUrl ? `${proxyBaseUrl}/onboarding/claim_token` : `/onboarding/claim_token`;
   try {
@@ -1777,7 +1769,7 @@ export const regenerateKeyCall = async (accessToken: string, keyToRegenerate: st
 let ModelListerrorShown = false;
 let errorTimer: NodeJS.Timeout | null = null;
 
-export const modelInfoCall = async (accessToken: String, userID: String, userRole: String) => {
+export const modelInfoCall = async (accessToken: string, userID: string, userRole: string) => {
   /**
    * Get all models on proxy
    */
@@ -1829,7 +1821,7 @@ export const modelInfoCall = async (accessToken: String, userID: String, userRol
   }
 };
 
-export const modelInfoV1Call = async (accessToken: String, modelId: String) => {
+export const modelInfoV1Call = async (accessToken: string, modelId: string) => {
   /**
    * Get all models on proxy
    */
@@ -1872,7 +1864,7 @@ export const modelHubPublicModelsCall = async () => {
   return response.json();
 };
 
-export const modelHubCall = async (accessToken: String) => {
+export const modelHubCall = async (accessToken: string) => {
   /**
    * Get all models on proxy
    */
@@ -1907,7 +1899,7 @@ export const modelHubCall = async (accessToken: String) => {
 };
 
 // Function to get allowed IPs
-export const getAllowedIPs = async (accessToken: String) => {
+export const getAllowedIPs = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/get/allowed_ips` : `/get/allowed_ips`;
 
@@ -1936,7 +1928,7 @@ export const getAllowedIPs = async (accessToken: String) => {
 };
 
 // Function to add an allowed IP
-export const addAllowedIP = async (accessToken: String, ip: String) => {
+export const addAllowedIP = async (accessToken: string, ip: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/add/allowed_ip` : `/add/allowed_ip`;
 
@@ -1966,7 +1958,7 @@ export const addAllowedIP = async (accessToken: String, ip: String) => {
 };
 
 // Function to delete an allowed IP
-export const deleteAllowedIP = async (accessToken: String, ip: String) => {
+export const deleteAllowedIP = async (accessToken: string, ip: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/delete/allowed_ip` : `/delete/allowed_ip`;
 
@@ -1996,14 +1988,14 @@ export const deleteAllowedIP = async (accessToken: String, ip: String) => {
 };
 
 export const modelMetricsCall = async (
-  accessToken: String,
-  userID: String,
-  userRole: String,
-  modelGroup: String | null,
-  startTime: String | undefined,
-  endTime: String | undefined,
-  apiKey: String | null,
-  customer: String | null,
+  accessToken: string,
+  userID: string,
+  userRole: string,
+  modelGroup: string | null,
+  startTime: string | undefined,
+  endTime: string | undefined,
+  apiKey: string | null,
+  customer: string | null,
 ) => {
   /**
    * Get all models on proxy
@@ -2039,10 +2031,10 @@ export const modelMetricsCall = async (
   }
 };
 export const streamingModelMetricsCall = async (
-  accessToken: String,
-  modelGroup: String | null,
-  startTime: String | undefined,
-  endTime: String | undefined,
+  accessToken: string,
+  modelGroup: string | null,
+  startTime: string | undefined,
+  endTime: string | undefined,
 ) => {
   /**
    * Get all models on proxy
@@ -2079,14 +2071,14 @@ export const streamingModelMetricsCall = async (
 };
 
 export const modelMetricsSlowResponsesCall = async (
-  accessToken: String,
-  userID: String,
-  userRole: String,
-  modelGroup: String | null,
-  startTime: String | undefined,
-  endTime: String | undefined,
-  apiKey: String | null,
-  customer: String | null,
+  accessToken: string,
+  userID: string,
+  userRole: string,
+  modelGroup: string | null,
+  startTime: string | undefined,
+  endTime: string | undefined,
+  apiKey: string | null,
+  customer: string | null,
 ) => {
   /**
    * Get all models on proxy
@@ -2124,14 +2116,14 @@ export const modelMetricsSlowResponsesCall = async (
 };
 
 export const modelExceptionsCall = async (
-  accessToken: String,
-  userID: String,
-  userRole: String,
-  modelGroup: String | null,
-  startTime: String | undefined,
-  endTime: String | undefined,
-  apiKey: String | null,
-  customer: String | null,
+  accessToken: string,
+  userID: string,
+  userRole: string,
+  modelGroup: string | null,
+  startTime: string | undefined,
+  endTime: string | undefined,
+  apiKey: string | null,
+  customer: string | null,
 ) => {
   /**
    * Get all models on proxy
@@ -2167,7 +2159,7 @@ export const modelExceptionsCall = async (
   }
 };
 
-export const updateUsefulLinksCall = async (accessToken: String, useful_links: Record<string, string>) => {
+export const updateUsefulLinksCall = async (accessToken: string, useful_links: Record<string, string>) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/model_hub/update_useful_links` : `/model_hub/update_useful_links`;
     const response = await fetch(url, {
@@ -2193,11 +2185,11 @@ export const updateUsefulLinksCall = async (accessToken: String, useful_links: R
 };
 
 export const modelAvailableCall = async (
-  accessToken: String,
-  userID: String,
-  userRole: String,
+  accessToken: string,
+  userID: string,
+  userRole: string,
   return_wildcard_routes: boolean = false,
-  teamID: String | null = null,
+  teamID: string | null = null,
   include_model_access_groups: boolean = false,
   only_model_access_groups: boolean = false,
 ) => {
@@ -2248,7 +2240,7 @@ export const modelAvailableCall = async (
   }
 };
 
-export const keySpendLogsCall = async (accessToken: String, token: String) => {
+export const keySpendLogsCall = async (accessToken: string, token: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/logs` : `/global/spend/logs`;
     console.log("in keySpendLogsCall:", url);
@@ -2275,7 +2267,7 @@ export const keySpendLogsCall = async (accessToken: String, token: String) => {
   }
 };
 
-export const teamSpendLogsCall = async (accessToken: String) => {
+export const teamSpendLogsCall = async (accessToken: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/teams` : `/global/spend/teams`;
     console.log("in teamSpendLogsCall:", url);
@@ -2303,10 +2295,10 @@ export const teamSpendLogsCall = async (accessToken: String) => {
 };
 
 export const tagsSpendLogsCall = async (
-  accessToken: String,
-  startTime: String | undefined,
-  endTime: String | undefined,
-  tags: String[] | undefined,
+  accessToken: string,
+  startTime: string | undefined,
+  endTime: string | undefined,
+  tags: string[] | undefined,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/tags` : `/global/spend/tags`;
@@ -2344,7 +2336,7 @@ export const tagsSpendLogsCall = async (
   }
 };
 
-export const allTagNamesCall = async (accessToken: String) => {
+export const allTagNamesCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/all_tag_names` : `/global/spend/all_tag_names`;
 
@@ -2372,7 +2364,7 @@ export const allTagNamesCall = async (accessToken: String) => {
   }
 };
 
-export const allEndUsersCall = async (accessToken: String) => {
+export const allEndUsersCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/customer/list` : `/customer/list`;
 
@@ -2400,7 +2392,7 @@ export const allEndUsersCall = async (accessToken: String) => {
   }
 };
 
-export const userFilterUICall = async (accessToken: String, params: URLSearchParams) => {
+export const userFilterUICall = async (accessToken: string, params: URLSearchParams) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/user/filter/ui` : `/user/filter/ui`;
 
@@ -2433,12 +2425,12 @@ export const userFilterUICall = async (accessToken: String, params: URLSearchPar
 };
 
 export const userSpendLogsCall = async (
-  accessToken: String,
-  token: String,
-  userRole: String,
-  userID: String,
-  startTime: String,
-  endTime: String,
+  accessToken: string,
+  token: string,
+  userRole: string,
+  userID: string,
+  startTime: string,
+  endTime: string,
 ) => {
   try {
     console.log(`user role in spend logs call: ${userRole}`);
@@ -2474,7 +2466,7 @@ export const userSpendLogsCall = async (
 };
 
 export const uiSpendLogsCall = async (
-  accessToken: String,
+  accessToken: string,
   api_key?: string,
   team_id?: string,
   request_id?: string,
@@ -2536,7 +2528,7 @@ export const uiSpendLogsCall = async (
   }
 };
 
-export const adminSpendLogsCall = async (accessToken: String) => {
+export const adminSpendLogsCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/logs` : `/global/spend/logs`;
 
@@ -2565,7 +2557,7 @@ export const adminSpendLogsCall = async (accessToken: String) => {
   }
 };
 
-export const adminTopKeysCall = async (accessToken: String) => {
+export const adminTopKeysCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/keys?limit=5` : `/global/spend/keys?limit=5`;
 
@@ -2595,10 +2587,10 @@ export const adminTopKeysCall = async (accessToken: String) => {
 };
 
 export const adminTopEndUsersCall = async (
-  accessToken: String,
-  keyToken: String | null,
-  startTime: String | undefined,
-  endTime: String | undefined,
+  accessToken: string,
+  keyToken: string | null,
+  startTime: string | undefined,
+  endTime: string | undefined,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/end_users` : `/global/spend/end_users`;
@@ -2645,10 +2637,10 @@ export const adminTopEndUsersCall = async (
 };
 
 export const adminspendByProvider = async (
-  accessToken: String,
-  keyToken: String | null,
-  startTime: String | undefined,
-  endTime: String | undefined,
+  accessToken: string,
+  keyToken: string | null,
+  startTime: string | undefined,
+  endTime: string | undefined,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/provider` : `/global/spend/provider`;
@@ -2687,9 +2679,9 @@ export const adminspendByProvider = async (
 };
 
 export const adminGlobalActivity = async (
-  accessToken: String,
-  startTime: String | undefined,
-  endTime: String | undefined,
+  accessToken: string,
+  startTime: string | undefined,
+  endTime: string | undefined,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/activity` : `/global/activity`;
@@ -2724,9 +2716,9 @@ export const adminGlobalActivity = async (
 };
 
 export const adminGlobalCacheActivity = async (
-  accessToken: String,
-  startTime: String | undefined,
-  endTime: String | undefined,
+  accessToken: string,
+  startTime: string | undefined,
+  endTime: string | undefined,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/activity/cache_hits` : `/global/activity/cache_hits`;
@@ -2761,9 +2753,9 @@ export const adminGlobalCacheActivity = async (
 };
 
 export const adminGlobalActivityPerModel = async (
-  accessToken: String,
-  startTime: String | undefined,
-  endTime: String | undefined,
+  accessToken: string,
+  startTime: string | undefined,
+  endTime: string | undefined,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/activity/model` : `/global/activity/model`;
@@ -2798,10 +2790,10 @@ export const adminGlobalActivityPerModel = async (
 };
 
 export const adminGlobalActivityExceptions = async (
-  accessToken: String,
-  startTime: String | undefined,
-  endTime: String | undefined,
-  modelGroup: String,
+  accessToken: string,
+  startTime: string | undefined,
+  endTime: string | undefined,
+  modelGroup: string,
 ) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/activity/exceptions` : `/global/activity/exceptions`;
@@ -2840,10 +2832,10 @@ export const adminGlobalActivityExceptions = async (
 };
 
 export const adminGlobalActivityExceptionsPerDeployment = async (
-  accessToken: String,
-  startTime: String | undefined,
-  endTime: String | undefined,
-  modelGroup: String,
+  accessToken: string,
+  startTime: string | undefined,
+  endTime: string | undefined,
+  modelGroup: string,
 ) => {
   try {
     let url = proxyBaseUrl
@@ -2883,7 +2875,7 @@ export const adminGlobalActivityExceptionsPerDeployment = async (
   }
 };
 
-export const adminTopModelsCall = async (accessToken: String) => {
+export const adminTopModelsCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/global/spend/models?limit=5` : `/global/spend/models?limit=5`;
 
@@ -2912,7 +2904,7 @@ export const adminTopModelsCall = async (accessToken: String) => {
   }
 };
 
-export const keyInfoCall = async (accessToken: String, keys: String[]) => {
+export const keyInfoCall = async (accessToken: string, keys: string[]) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/v2/key/info` : `/v2/key/info`;
 
@@ -3037,7 +3029,7 @@ export const keyInfoV1Call = async (accessToken: string, key: string) => {
 };
 
 export const keyListCall = async (
-  accessToken: String,
+  accessToken: string,
   organizationID: string | null,
   teamID: string | null,
   selectedKeyAlias: string | null,
@@ -3125,9 +3117,7 @@ export const keyListCall = async (
   }
 };
 
-export const keyAliasesCall = async (
-  accessToken: String
-): Promise<{ aliases: string[] }> => {
+export const keyAliasesCall = async (accessToken: string): Promise<{ aliases: string[] }> => {
   /**
    * Get all key aliases from proxy
    */
@@ -3159,8 +3149,7 @@ export const keyAliasesCall = async (
   }
 };
 
-
-export const spendUsersCall = async (accessToken: String, userID: String) => {
+export const spendUsersCall = async (accessToken: string, userID: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/spend/users` : `/spend/users`;
     console.log("in spendUsersCall:", url);
@@ -3188,10 +3177,10 @@ export const spendUsersCall = async (accessToken: String, userID: String) => {
 };
 
 export const userRequestModelCall = async (
-  accessToken: String,
-  model: String,
-  UserID: String,
-  justification: String,
+  accessToken: string,
+  model: string,
+  UserID: string,
+  justification: string,
 ) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/user/request_model` : `/user/request_model`;
@@ -3226,7 +3215,7 @@ export const userRequestModelCall = async (
   }
 };
 
-export const userGetRequesedtModelsCall = async (accessToken: String) => {
+export const userGetRequesedtModelsCall = async (accessToken: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/user/get_requests` : `/user/get_requests`;
     console.log("in userGetRequesedtModelsCall:", url);
@@ -3263,7 +3252,7 @@ export interface User {
   [key: string]: string; // Include any other potential keys in the dictionary
 }
 
-export const userDailyActivityAggregatedCall = async (accessToken: String, startTime: Date, endTime: Date) => {
+export const userDailyActivityAggregatedCall = async (accessToken: string, startTime: Date, endTime: Date) => {
   /**
    * Get aggregated daily user activity (no pagination)
    */
@@ -3307,7 +3296,7 @@ export const userDailyActivityAggregatedCall = async (accessToken: String, start
   }
 };
 
-export const userGetAllUsersCall = async (accessToken: String, role: String) => {
+export const userGetAllUsersCall = async (accessToken: string, role: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/user/get_users?role=${role}` : `/user/get_users?role=${role}`;
     console.log("in userGetAllUsersCall:", url);
@@ -3337,7 +3326,7 @@ export const userGetAllUsersCall = async (accessToken: String, role: String) =>
   }
 };
 
-export const getPossibleUserRoles = async (accessToken: String) => {
+export const getPossibleUserRoles = async (accessToken: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/user/available_roles` : `/user/available_roles`;
     const response = await fetch(url, {
@@ -3454,7 +3443,7 @@ export const credentialCreateCall = async (
   }
 };
 
-export const credentialListCall = async (accessToken: String) => {
+export const credentialListCall = async (accessToken: string) => {
   /**
    * Get all available teams on proxy
    */
@@ -3487,7 +3476,7 @@ export const credentialListCall = async (accessToken: String) => {
   }
 };
 
-export const credentialGetCall = async (accessToken: String, credentialName: String | null, modelId: String | null) => {
+export const credentialGetCall = async (accessToken: string, credentialName: string | null, modelId: string | null) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/credentials` : `/credentials`;
 
@@ -3524,7 +3513,7 @@ export const credentialGetCall = async (accessToken: String, credentialName: Str
   }
 };
 
-export const credentialDeleteCall = async (accessToken: String, credentialName: String) => {
+export const credentialDeleteCall = async (accessToken: string, credentialName: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/credentials/${credentialName}` : `/credentials/${credentialName}`;
     console.log("in credentialDeleteCall:", credentialName);
@@ -4254,7 +4243,7 @@ export const PredictedSpendLogsCall = async (accessToken: string, requestData: a
   }
 };
 
-export const slackBudgetAlertsHealthCheck = async (accessToken: String) => {
+export const slackBudgetAlertsHealthCheck = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl
       ? `${proxyBaseUrl}/health/services?service=slack_budget_alerts`
@@ -4291,7 +4280,7 @@ export const slackBudgetAlertsHealthCheck = async (accessToken: String) => {
   }
 };
 
-export const serviceHealthCheck = async (accessToken: String, service: String) => {
+export const serviceHealthCheck = async (accessToken: string, service: string) => {
   try {
     let url = proxyBaseUrl
       ? `${proxyBaseUrl}/health/services?service=${service}`
@@ -4323,7 +4312,7 @@ export const serviceHealthCheck = async (accessToken: String, service: String) =
   }
 };
 
-export const getBudgetList = async (accessToken: String) => {
+export const getBudgetList = async (accessToken: string) => {
   /**
    * Get all configurable params for setting a budget
    */
@@ -4355,7 +4344,7 @@ export const getBudgetList = async (accessToken: String) => {
     throw error;
   }
 };
-export const getBudgetSettings = async (accessToken: String) => {
+export const getBudgetSettings = async (accessToken: string) => {
   /**
    * Get all configurable params for setting a budget
    */
@@ -4388,7 +4377,7 @@ export const getBudgetSettings = async (accessToken: String) => {
   }
 };
 
-export const getCallbacksCall = async (accessToken: String, userID: String, userRole: String) => {
+export const getCallbacksCall = async (accessToken: string, userID: string, userRole: string) => {
   /**
    * Get all the models user has access to
    */
@@ -4421,7 +4410,7 @@ export const getCallbacksCall = async (accessToken: String, userID: String, user
   }
 };
 
-export const getGeneralSettingsCall = async (accessToken: String) => {
+export const getGeneralSettingsCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl
       ? `${proxyBaseUrl}/config/list?config_type=general_settings`
@@ -4453,7 +4442,7 @@ export const getGeneralSettingsCall = async (accessToken: String) => {
   }
 };
 
-export const getPassThroughEndpointsCall = async (accessToken: String) => {
+export const getPassThroughEndpointsCall = async (accessToken: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/config/pass_through_endpoint` : `/config/pass_through_endpoint`;
 
@@ -4483,7 +4472,7 @@ export const getPassThroughEndpointsCall = async (accessToken: String) => {
   }
 };
 
-export const getConfigFieldSetting = async (accessToken: String, fieldName: string) => {
+export const getConfigFieldSetting = async (accessToken: string, fieldName: string) => {
   try {
     let url = proxyBaseUrl
       ? `${proxyBaseUrl}/config/field/info?field_name=${fieldName}`
@@ -4514,7 +4503,7 @@ export const getConfigFieldSetting = async (accessToken: String, fieldName: stri
   }
 };
 
-export const updatePassThroughFieldSetting = async (accessToken: String, fieldName: string, fieldValue: any) => {
+export const updatePassThroughFieldSetting = async (accessToken: string, fieldName: string, fieldValue: any) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/config/pass_through_endpoint` : `/config/pass_through_endpoint`;
 
@@ -4550,7 +4539,7 @@ export const updatePassThroughFieldSetting = async (accessToken: String, fieldNa
   }
 };
 
-export const createPassThroughEndpoint = async (accessToken: String, formValues: Record<string, any>) => {
+export const createPassThroughEndpoint = async (accessToken: string, formValues: Record<string, any>) => {
   /**
    * Set callbacks on proxy
    */
@@ -4586,7 +4575,7 @@ export const createPassThroughEndpoint = async (accessToken: String, formValues:
   }
 };
 
-export const updateConfigFieldSetting = async (accessToken: String, fieldName: string, fieldValue: any) => {
+export const updateConfigFieldSetting = async (accessToken: string, fieldName: string, fieldValue: any) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/config/field/update` : `/config/field/update`;
 
@@ -4623,7 +4612,7 @@ export const updateConfigFieldSetting = async (accessToken: String, fieldName: s
   }
 };
 
-export const deleteConfigFieldSetting = async (accessToken: String, fieldName: String) => {
+export const deleteConfigFieldSetting = async (accessToken: string, fieldName: string) => {
   try {
     let url = proxyBaseUrl ? `${proxyBaseUrl}/config/field/delete` : `/config/field/delete`;
 
@@ -4658,7 +4647,7 @@ export const deleteConfigFieldSetting = async (accessToken: String, fieldName: S
   }
 };
 
-export const deletePassThroughEndpointsCall = async (accessToken: String, endpointId: string) => {
+export const deletePassThroughEndpointsCall = async (accessToken: string, endpointId: string) => {
   try {
     let url = proxyBaseUrl
       ? `${proxyBaseUrl}/config/pass_through_endpoint?endpoint_id=${endpointId}`
@@ -4690,7 +4679,7 @@ export const deletePassThroughEndpointsCall = async (accessToken: String, endpoi
   }
 };
 
-export const setCallbacksCall = async (accessToken: String, formValues: Record<string, any>) => {
+export const setCallbacksCall = async (accessToken: string, formValues: Record<string, any>) => {
   /**
    * Set callbacks on proxy
    */
@@ -4726,7 +4715,7 @@ export const setCallbacksCall = async (accessToken: String, formValues: Record<s
   }
 };
 
-export const healthCheckCall = async (accessToken: String) => {
+export const healthCheckCall = async (accessToken: string) => {
   /**
    * Get all the models user has access to
    */
@@ -4759,7 +4748,7 @@ export const healthCheckCall = async (accessToken: String) => {
   }
 };
 
-export const individualModelHealthCheckCall = async (accessToken: String, modelName: string) => {
+export const individualModelHealthCheckCall = async (accessToken: string, modelName: string) => {
   /**
    * Run health check for a specific model using model name
    */
@@ -4791,7 +4780,7 @@ export const individualModelHealthCheckCall = async (accessToken: String, modelN
   }
 };
 
-export const cachingHealthCheckCall = async (accessToken: String) => {
+export const cachingHealthCheckCall = async (accessToken: string) => {
   /**
    * Get all the models user has access to
    */
@@ -4824,7 +4813,7 @@ export const cachingHealthCheckCall = async (accessToken: String) => {
 };
 
 export const healthCheckHistoryCall = async (
-  accessToken: String,
+  accessToken: string,
   model?: string,
   statusFilter?: string,
   limit: number = 100,
@@ -4868,7 +4857,7 @@ export const healthCheckHistoryCall = async (
   }
 };
 
-export const latestHealthChecksCall = async (accessToken: String) => {
+export const latestHealthChecksCall = async (accessToken: string) => {
   /**
    * Get the latest health check status for all models
    */
@@ -4897,7 +4886,7 @@ export const latestHealthChecksCall = async (accessToken: String) => {
   }
 };
 
-export const getProxyUISettings = async (accessToken: String) => {
+export const getProxyUISettings = async (accessToken: string) => {
   /**
    * Get all the models user has access to
    */
@@ -4932,7 +4921,7 @@ export const getProxyUISettings = async (accessToken: String) => {
   }
 };
 
-export const getGuardrailsList = async (accessToken: String) => {
+export const getGuardrailsList = async (accessToken: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/v2/guardrails/list` : `/v2/guardrails/list`;
     const response = await fetch(url, {
@@ -4958,7 +4947,7 @@ export const getGuardrailsList = async (accessToken: String) => {
   }
 };
 
-export const getPromptsList = async (accessToken: String): Promise<ListPromptsResponse> => {
+export const getPromptsList = async (accessToken: string): Promise<ListPromptsResponse> => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/prompts/list` : `/prompts/list`;
     const response = await fetch(url, {
@@ -4984,7 +4973,7 @@ export const getPromptsList = async (accessToken: String): Promise<ListPromptsRe
   }
 };
 
-export const getPromptInfo = async (accessToken: String, promptId: string): Promise<PromptInfoResponse> => {
+export const getPromptInfo = async (accessToken: string, promptId: string): Promise<PromptInfoResponse> => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/prompts/${promptId}/info` : `/prompts/${promptId}/info`;
     const response = await fetch(url, {
@@ -5404,7 +5393,7 @@ export const updateMCPServer = async (accessToken: string, formValues: Record<st
   }
 };
 
-export const deleteMCPServer = async (accessToken: String, serverId: String) => {
+export const deleteMCPServer = async (accessToken: string, serverId: string) => {
   try {
     const url = (proxyBaseUrl ? `${proxyBaseUrl}` : "") + `/v1/mcp/server/${serverId}`;
     console.log("in deleteMCPServer:", serverId);
@@ -6281,7 +6270,7 @@ export const updateSSOSettings = async (accessToken: string, settings: Record<st
 };
 
 export const uiAuditLogsCall = async (
-  accessToken: String,
+  accessToken: string,
   start_date?: string,
   end_date?: string,
   page?: number,
@@ -6435,7 +6424,7 @@ export const getPassThroughEndpointInfo = async (accessToken: string, endpointPa
   }
 };
 
-export const deleteCallback = async (accessToken: String, callbackName: string) => {
+export const deleteCallback = async (accessToken: string, callbackName: string) => {
   /**
    * Delete specific callback from proxy using the /config/callback/delete API
    */
diff --git a/ui/litellm-dashboard/src/components/new_usage.tsx b/ui/litellm-dashboard/src/components/new_usage.tsx
index 90181365a0..530728e070 100644
--- a/ui/litellm-dashboard/src/components/new_usage.tsx
+++ b/ui/litellm-dashboard/src/components/new_usage.tsx
@@ -26,13 +26,9 @@ import {
   TableHeaderCell,
   TableBody,
   TableCell,
-  Subtitle,
-  DateRangePicker,
   DateRangePickerValue,
-  Button,
 } from "@tremor/react";
 import AdvancedDatePicker from "./shared/advanced_date_picker";
-import { AreaChart } from "@tremor/react";
 
 import { userDailyActivityCall, userDailyActivityAggregatedCall, tagListCall } from "./networking";
 import { Tag } from "./tag_management/types";
@@ -40,16 +36,9 @@ import ViewUserSpend from "./view_user_spend";
 import TopKeyView from "./top_key_view";
 import { ActivityMetrics, processActivityData } from "./activity_metrics";
 import UserAgentActivity from "./user_agent_activity";
-import { SpendMetrics, DailyData, ModelActivityData, MetricWithMetadata, KeyMetricWithMetadata } from "./usage/types";
+import { DailyData, MetricWithMetadata, KeyMetricWithMetadata } from "./usage/types";
 import EntityUsage from "./entity_usage";
-import {
-  old_admin_roles,
-  v2_admin_role_names,
-  all_admin_roles,
-  rolesAllowedToSeeUsage,
-  rolesWithWriteAccess,
-  internalUserRoles,
-} from "../utils/roles";
+import { all_admin_roles } from "../utils/roles";
 import { Team } from "./key_team_helpers/key_list";
 import { EntityList } from "./entity_usage";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
diff --git a/ui/litellm-dashboard/src/components/onboarding_link.tsx b/ui/litellm-dashboard/src/components/onboarding_link.tsx
index 6b40439325..f339afda05 100644
--- a/ui/litellm-dashboard/src/components/onboarding_link.tsx
+++ b/ui/litellm-dashboard/src/components/onboarding_link.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Modal, message, Typography } from "antd";
+import { Modal, Typography } from "antd";
 import { CopyToClipboard } from "react-copy-to-clipboard";
 import { Text, Button } from "@tremor/react";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/organisms/create_key_button.tsx b/ui/litellm-dashboard/src/components/organisms/create_key_button.tsx
index b04d2e93aa..20996a7524 100644
--- a/ui/litellm-dashboard/src/components/organisms/create_key_button.tsx
+++ b/ui/litellm-dashboard/src/components/organisms/create_key_button.tsx
@@ -1,15 +1,14 @@
 "use client";
-import React, { useState, useEffect, useRef, useCallback } from "react";
-import { Button, TextInput, Grid, Col, Select as TremorSelect, SelectItem } from "@tremor/react";
-import { Card, Metric, Text, Title, Subtitle, Accordion, AccordionHeader, AccordionBody } from "@tremor/react";
+import React, { useState, useEffect, useCallback } from "react";
+import { Button, TextInput, Grid, Col } from "@tremor/react";
+import { Text, Title, Accordion, AccordionHeader, AccordionBody } from "@tremor/react";
 import { CopyToClipboard } from "react-copy-to-clipboard";
-import { Button as Button2, Modal, Form, Input, Select, message, Radio } from "antd";
+import { Button as Button2, Modal, Form, Input, Select, Radio } from "antd";
 import NumericalInput from "../shared/numerical_input";
-import { unfurlWildcardModelsInList, getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key";
+import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key";
 import SchemaFormFields from "../common_components/check_openapi_schema";
 import {
   keyCreateCall,
-  slackBudgetAlertsHealthCheck,
   modelAvailableCall,
   getGuardrailsList,
   proxyBaseUrl,
@@ -30,7 +29,7 @@ import debounce from "lodash/debounce";
 import { rolesWithWriteAccess } from "../../utils/roles";
 import BudgetDurationDropdown from "../common_components/budget_duration_dropdown";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
-import { callback_map, mapDisplayToInternalNames } from "../callback_info_helpers";
+import { mapDisplayToInternalNames } from "../callback_info_helpers";
 import MCPServerSelector from "../mcp_server_management/MCPServerSelector";
 import MCPToolPermissions from "../mcp_server_management/MCPToolPermissions";
 import ModelAliasManager from "../common_components/ModelAliasManager";
@@ -390,7 +389,6 @@ const CreateKey: React.FC<CreateKeyProps> = ({
         formValues.aliases = JSON.stringify(modelAliases);
       }
 
-
       let response;
       if (keyOwner === "service_account") {
         response = await keyCreateServiceAccountCall(accessToken, formValues);
@@ -1007,9 +1005,9 @@ const CreateKey: React.FC<CreateKeyProps> = ({
                         <Input type="hidden" />
                       </Form.Item>
 
-                      <Form.Item 
+                      <Form.Item
                         noStyle
-                        shouldUpdate={(prevValues, currentValues) => 
+                        shouldUpdate={(prevValues, currentValues) =>
                           prevValues.allowed_mcp_servers_and_groups !== currentValues.allowed_mcp_servers_and_groups ||
                           prevValues.mcp_tool_permissions !== currentValues.mcp_tool_permissions
                         }
diff --git a/ui/litellm-dashboard/src/components/organisms/regenerate_key_modal.tsx b/ui/litellm-dashboard/src/components/organisms/regenerate_key_modal.tsx
index 88fc2fba26..aea3a345df 100644
--- a/ui/litellm-dashboard/src/components/organisms/regenerate_key_modal.tsx
+++ b/ui/litellm-dashboard/src/components/organisms/regenerate_key_modal.tsx
@@ -1,6 +1,6 @@
 import React, { useEffect, useState } from "react";
 import { Button, Text, TextInput, Title, Grid, Col } from "@tremor/react";
-import { Modal, Form, InputNumber, message } from "antd";
+import { Modal, Form, InputNumber } from "antd";
 import { add } from "date-fns";
 import { regenerateKeyCall } from "../networking";
 import { KeyResponse } from "../key_team_helpers/key_list";
diff --git a/ui/litellm-dashboard/src/components/organization/add_org_admin.tsx b/ui/litellm-dashboard/src/components/organization/add_org_admin.tsx
index 7e89f22244..6f50dc45f7 100644
--- a/ui/litellm-dashboard/src/components/organization/add_org_admin.tsx
+++ b/ui/litellm-dashboard/src/components/organization/add_org_admin.tsx
@@ -2,7 +2,7 @@
  * This component is used to add an admin to an organization.
  */
 import React, { FC } from "react";
-import { Button, Select, Col, Text } from "@tremor/react";
+import { Button, Col, Text } from "@tremor/react";
 import { Button as Button2, Select as Select2, Modal, Form, Input } from "antd";
 import { Organization } from "@/components/organization/types";
 interface AddOrgAdminProps {
diff --git a/ui/litellm-dashboard/src/components/organization/organization_view.tsx b/ui/litellm-dashboard/src/components/organization/organization_view.tsx
index f98ee50173..17e21baedf 100644
--- a/ui/litellm-dashboard/src/components/organization/organization_view.tsx
+++ b/ui/litellm-dashboard/src/components/organization/organization_view.tsx
@@ -21,8 +21,7 @@ import {
   Icon,
 } from "@tremor/react";
 import NumericalInput from "../shared/numerical_input";
-import { Button, Form, Input, Select, message, Tooltip } from "antd";
-import { InfoCircleOutlined } from "@ant-design/icons";
+import { Button, Form, Input, Select } from "antd";
 import { ArrowLeftIcon, PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
 import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key";
 import {
diff --git a/ui/litellm-dashboard/src/components/organization/types.tsx b/ui/litellm-dashboard/src/components/organization/types.tsx
index f9f80adc9b..96d1155e99 100644
--- a/ui/litellm-dashboard/src/components/organization/types.tsx
+++ b/ui/litellm-dashboard/src/components/organization/types.tsx
@@ -1,5 +1,3 @@
-import { Member } from "../networking";
-
 export interface EditModalProps {
   visible: boolean;
   onCancel: () => void;
diff --git a/ui/litellm-dashboard/src/components/organization/view_members_of_org.tsx b/ui/litellm-dashboard/src/components/organization/view_members_of_org.tsx
index 37b9f0dda1..1e36e67eb6 100644
--- a/ui/litellm-dashboard/src/components/organization/view_members_of_org.tsx
+++ b/ui/litellm-dashboard/src/components/organization/view_members_of_org.tsx
@@ -1,18 +1,7 @@
 import React, { FC } from "react";
 
 import { Organization, EditModalProps, OrganizationMember } from "./types";
-import {
-  TextInput,
-  Button,
-  Card,
-  Col,
-  Table,
-  TableHead,
-  TableHeaderCell,
-  TableBody,
-  TableRow,
-  TableCell,
-} from "@tremor/react";
+import { Card, Col, Table, TableHead, TableHeaderCell, TableBody, TableRow, TableCell } from "@tremor/react";
 
 interface Member {
   user_email?: string;
diff --git a/ui/litellm-dashboard/src/components/organizations.tsx b/ui/litellm-dashboard/src/components/organizations.tsx
index 5d0f45578e..854073d847 100644
--- a/ui/litellm-dashboard/src/components/organizations.tsx
+++ b/ui/litellm-dashboard/src/components/organizations.tsx
@@ -26,7 +26,6 @@ import { InfoCircleOutlined } from "@ant-design/icons";
 import { PencilAltIcon, TrashIcon, RefreshIcon, ChevronDownIcon, ChevronRightIcon } from "@heroicons/react/outline";
 import { TextInput } from "@tremor/react";
 import { getModelDisplayName } from "./key_team_helpers/fetch_available_models_team_key";
-import { message } from "antd";
 import OrganizationInfoView from "./organization/organization_view";
 import { Organization, organizationListCall, organizationCreateCall, organizationDeleteCall } from "./networking";
 import VectorStoreSelector from "./vector_store_management/VectorStoreSelector";
diff --git a/ui/litellm-dashboard/src/components/pass_through_info.tsx b/ui/litellm-dashboard/src/components/pass_through_info.tsx
index 4a40aea5be..9b9d8aefaa 100644
--- a/ui/litellm-dashboard/src/components/pass_through_info.tsx
+++ b/ui/litellm-dashboard/src/components/pass_through_info.tsx
@@ -1,4 +1,4 @@
-import React, { useState, useEffect } from "react";
+import React, { useState } from "react";
 import {
   Card,
   Title,
@@ -13,7 +13,7 @@ import {
   TabPanels,
   TextInput,
 } from "@tremor/react";
-import { Button, Form, Input, Switch, message, InputNumber } from "antd";
+import { Button, Form, Input, Switch, InputNumber } from "antd";
 import { updatePassThroughEndpoint, deletePassThroughEndpointsCall } from "./networking";
 import { Eye, EyeOff } from "lucide-react";
 import RoutePreview from "./route_preview";
diff --git a/ui/litellm-dashboard/src/components/pass_through_settings.tsx b/ui/litellm-dashboard/src/components/pass_through_settings.tsx
index ff5cf20171..c21f2e3c0b 100644
--- a/ui/litellm-dashboard/src/components/pass_through_settings.tsx
+++ b/ui/litellm-dashboard/src/components/pass_through_settings.tsx
@@ -1,32 +1,7 @@
 import React, { useState, useEffect } from "react";
-import {
-  Badge,
-  Metric,
-  Text,
-  Grid,
-  Button,
-  TextInput,
-  Select as Select2,
-  SelectItem,
-  Col,
-  Accordion,
-  AccordionBody,
-  AccordionHeader,
-  AccordionList,
-  Icon,
-  Title,
-} from "@tremor/react";
-import {
-  getCallbacksCall,
-  setCallbacksCall,
-  getGeneralSettingsCall,
-  deletePassThroughEndpointsCall,
-  getPassThroughEndpointsCall,
-  serviceHealthCheck,
-  updateConfigFieldSetting,
-  deleteConfigFieldSetting,
-} from "./networking";
-import { Modal, Form, Input, Select, Button as Button2, message, InputNumber, Tooltip } from "antd";
+import { Text, Button, Icon, Title } from "@tremor/react";
+import { deletePassThroughEndpointsCall, getPassThroughEndpointsCall } from "./networking";
+import { Tooltip } from "antd";
 import { PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
 import AddPassThroughEndpoint from "./add_pass_through";
 import PassThroughInfoView from "./pass_through_info";
diff --git a/ui/litellm-dashboard/src/components/per_user_usage.tsx b/ui/litellm-dashboard/src/components/per_user_usage.tsx
index aa5917fe73..59aed14292 100644
--- a/ui/litellm-dashboard/src/components/per_user_usage.tsx
+++ b/ui/litellm-dashboard/src/components/per_user_usage.tsx
@@ -1,6 +1,5 @@
 import React, { useState, useEffect } from "react";
 import {
-  Card,
   Title,
   Subtitle,
   Table,
@@ -19,7 +18,6 @@ import {
   TabPanels,
 } from "@tremor/react";
 import { perUserAnalyticsCall } from "./networking";
-import { DateRangePickerValue } from "@tremor/react";
 
 interface PerUserMetrics {
   user_id: string;
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx
index c3b26a6b42..4609c0cd92 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx
@@ -1,5 +1,5 @@
 import React, { useState, useEffect } from "react";
-import { Button, Popconfirm, message, Modal, InputNumber, Space, Typography, Tag, Card } from "antd";
+import { Button, Popconfirm, Modal, InputNumber, Space, Typography, Tag, Card } from "antd";
 import { ReloadOutlined, ClockCircleOutlined, StopOutlined } from "@ant-design/icons";
 import {
   reloadModelCostMap,
diff --git a/ui/litellm-dashboard/src/components/prompts.tsx b/ui/litellm-dashboard/src/components/prompts.tsx
index 6f639d955f..cf41f36f6c 100644
--- a/ui/litellm-dashboard/src/components/prompts.tsx
+++ b/ui/litellm-dashboard/src/components/prompts.tsx
@@ -1,7 +1,7 @@
 import React, { useState, useEffect } from "react";
 
-import { Card, Text, Button } from "@tremor/react";
-import { Modal, message } from "antd";
+import { Button } from "@tremor/react";
+import { Modal } from "antd";
 import { getPromptsList, PromptSpec, ListPromptsResponse, deletePromptCall } from "./networking";
 import PromptTable from "./prompts/prompt_table";
 import PromptInfoView from "./prompts/prompt_info";
diff --git a/ui/litellm-dashboard/src/components/prompts/add_prompt_form.tsx b/ui/litellm-dashboard/src/components/prompts/add_prompt_form.tsx
index 46d6221ef7..cdb77bb66f 100644
--- a/ui/litellm-dashboard/src/components/prompts/add_prompt_form.tsx
+++ b/ui/litellm-dashboard/src/components/prompts/add_prompt_form.tsx
@@ -1,5 +1,5 @@
 import React, { useState } from "react";
-import { Modal, Form, Select, Upload, Button, message, Divider } from "antd";
+import { Modal, Form, Select, Upload, Button, Divider } from "antd";
 import { TextInput } from "@tremor/react";
 import { UploadOutlined } from "@ant-design/icons";
 import type { UploadFile, UploadProps } from "antd";
diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_info.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_info.tsx
index 0045a5cb7f..bbc2a4aa35 100644
--- a/ui/litellm-dashboard/src/components/prompts/prompt_info.tsx
+++ b/ui/litellm-dashboard/src/components/prompts/prompt_info.tsx
@@ -12,15 +12,9 @@ import {
   TabPanel,
   TabPanels,
 } from "@tremor/react";
-import { Button, message, Tooltip, Modal } from "antd";
+import { Button, Modal } from "antd";
 import { ArrowLeftIcon, TrashIcon } from "@heroicons/react/outline";
-import {
-  getPromptInfo,
-  PromptInfoResponse,
-  PromptSpec,
-  PromptTemplateBase,
-  deletePromptCall,
-} from "@/components/networking";
+import { getPromptInfo, PromptSpec, PromptTemplateBase, deletePromptCall } from "@/components/networking";
 import { copyToClipboard as utilCopyToClipboard } from "@/utils/dataUtils";
 import { CheckIcon, CopyIcon } from "lucide-react";
 import NotificationsManager from "../molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx
index a6a67fb1cf..fb09b9fa82 100644
--- a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx
+++ b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx
@@ -1,7 +1,3 @@
-import OpenAI from "openai";
-import React from "react";
-import NotificationManager from "./molecules/notifications_manager";
-
 export enum Providers {
   AIML = "AI/ML API",
   Bedrock = "Amazon Bedrock",
diff --git a/ui/litellm-dashboard/src/components/public_model_hub.tsx b/ui/litellm-dashboard/src/components/public_model_hub.tsx
index 80e6a079cf..b1a0cc9021 100644
--- a/ui/litellm-dashboard/src/components/public_model_hub.tsx
+++ b/ui/litellm-dashboard/src/components/public_model_hub.tsx
@@ -1,15 +1,14 @@
 import React, { useEffect, useState, useRef, useMemo } from "react";
-import { modelHubPublicModelsCall, proxyBaseUrl, getUiConfig, getPublicModelHubInfo } from "./networking";
+import { modelHubPublicModelsCall, getPublicModelHubInfo } from "./networking";
 import { ModelDataTable } from "./model_dashboard/table";
 import { ColumnDef } from "@tanstack/react-table";
 import { Card, Text, Title, Button } from "@tremor/react";
-import { message, Tag, Tooltip, Modal, Select } from "antd";
-import { CopyOutlined } from "@ant-design/icons";
-import { ExternalLinkIcon, SearchIcon, EyeIcon, CogIcon } from "@heroicons/react/outline";
+import { Tag, Tooltip, Modal, Select } from "antd";
+import { ExternalLinkIcon, SearchIcon } from "@heroicons/react/outline";
 import { Copy, Info } from "lucide-react";
 import { Table as TableInstance } from "@tanstack/react-table";
 import { generateCodeSnippet } from "./chat_ui/CodeSnippets";
-import { EndpointType, getEndpointType } from "./chat_ui/mode_endpoint_mapping";
+import { getEndpointType } from "./chat_ui/mode_endpoint_mapping";
 import { MessageType } from "./chat_ui/types";
 import { getProviderLogoAndName } from "./provider_info_helpers";
 import Navbar from "./navbar";
diff --git a/ui/litellm-dashboard/src/components/public_model_hub_columns.tsx b/ui/litellm-dashboard/src/components/public_model_hub_columns.tsx
index fdaff1c306..9056afc4e6 100644
--- a/ui/litellm-dashboard/src/components/public_model_hub_columns.tsx
+++ b/ui/litellm-dashboard/src/components/public_model_hub_columns.tsx
@@ -1,6 +1,6 @@
 import React from "react";
 import { ColumnDef } from "@tanstack/react-table";
-import { Badge, Text } from "@tremor/react";
+import { Text } from "@tremor/react";
 import { EyeIcon, CogIcon } from "@heroicons/react/outline";
 import { Tag } from "antd";
 
diff --git a/ui/litellm-dashboard/src/components/request_model_access.tsx b/ui/litellm-dashboard/src/components/request_model_access.tsx
index bbb2d298cc..e9d84a86d0 100644
--- a/ui/litellm-dashboard/src/components/request_model_access.tsx
+++ b/ui/litellm-dashboard/src/components/request_model_access.tsx
@@ -1,7 +1,7 @@
 "use client";
 
-import React, { useState, useEffect, useRef } from "react";
-import { Modal, Form, Input, Select, InputNumber, message } from "antd";
+import React, { useState } from "react";
+import { Modal, Form, Input, Select } from "antd";
 import { Button } from "@tremor/react";
 import { userRequestModelCall } from "./networking";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/tag_management/components/CreateTagModal.tsx b/ui/litellm-dashboard/src/components/tag_management/components/CreateTagModal.tsx
new file mode 100644
index 0000000000..4d1909abd9
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/tag_management/components/CreateTagModal.tsx
@@ -0,0 +1,153 @@
+import React from "react";
+import { Button, TextInput, Accordion, AccordionHeader, AccordionBody, Title } from "@tremor/react";
+import { Modal, Form, Select as Select2, Tooltip, Input } from "antd";
+import { InfoCircleOutlined } from "@ant-design/icons";
+import NumericalInput from "../../shared/numerical_input";
+import BudgetDurationDropdown from "../../common_components/budget_duration_dropdown";
+
+interface ModelInfo {
+  model_name: string;
+  litellm_params: {
+    model: string;
+  };
+  model_info: {
+    id: string;
+  };
+}
+
+interface CreateTagModalProps {
+  visible: boolean;
+  onCancel: () => void;
+  onSubmit: (values: any) => void;
+  availableModels: ModelInfo[];
+}
+
+const CreateTagModal: React.FC<CreateTagModalProps> = ({
+  visible,
+  onCancel,
+  onSubmit,
+  availableModels,
+}) => {
+  const [form] = Form.useForm();
+
+  const handleFinish = (values: any) => {
+    onSubmit(values);
+    form.resetFields();
+  };
+
+  const handleCancel = () => {
+    form.resetFields();
+    onCancel();
+  };
+
+  return (
+    <Modal
+      title="Create New Tag"
+      visible={visible}
+      width={800}
+      footer={null}
+      onCancel={handleCancel}
+    >
+      <Form
+        form={form}
+        onFinish={handleFinish}
+        labelCol={{ span: 8 }}
+        wrapperCol={{ span: 16 }}
+        labelAlign="left"
+      >
+        <Form.Item
+          label="Tag Name"
+          name="tag_name"
+          rules={[{ required: true, message: "Please input a tag name" }]}
+        >
+          <TextInput />
+        </Form.Item>
+
+        <Form.Item label="Description" name="description">
+          <Input.TextArea rows={4} />
+        </Form.Item>
+
+        <Form.Item
+          label={
+            <span>
+              Allowed Models{" "}
+              <Tooltip title="Select which LLMs are allowed to process requests from this tag">
+                <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+              </Tooltip>
+            </span>
+          }
+          name="allowed_llms"
+        >
+          <Select2 mode="multiple" placeholder="Select LLMs">
+            {availableModels.map((model) => (
+              <Select2.Option key={model.model_info.id} value={model.model_info.id}>
+                <div>
+                  <span>{model.model_name}</span>
+                  <span className="text-gray-400 ml-2">({model.model_info.id})</span>
+                </div>
+              </Select2.Option>
+            ))}
+          </Select2>
+        </Form.Item>
+
+        <Accordion className="mt-4 mb-4">
+          <AccordionHeader>
+            <Title className="m-0">Budget & Rate Limits (Optional)</Title>
+          </AccordionHeader>
+          <AccordionBody>
+            <Form.Item
+              className="mt-4"
+              label={
+                <span>
+                  Max Budget (USD){" "}
+                  <Tooltip title="Maximum amount in USD this tag can spend. When reached, requests with this tag will be blocked">
+                    <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                  </Tooltip>
+                </span>
+              }
+              name="max_budget"
+            >
+              <NumericalInput step={0.01} precision={2} width={200} />
+            </Form.Item>
+            <Form.Item
+              className="mt-4"
+              label={
+                <span>
+                  Reset Budget{" "}
+                  <Tooltip title="How often the budget should reset. For example, setting 'daily' will reset the budget every 24 hours">
+                    <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                  </Tooltip>
+                </span>
+              }
+              name="budget_duration"
+            >
+              <BudgetDurationDropdown onChange={(value) => form.setFieldValue("budget_duration", value)} />
+            </Form.Item>
+
+            <div className="mt-4 p-3 bg-gray-50 rounded-md border border-gray-200">
+              <p className="text-sm text-gray-600">
+                TPM/RPM limits for tags are not currently supported. If you need this feature, please{" "}
+                <a
+                  href="https://github.com/BerriAI/litellm/issues/new"
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="text-blue-600 hover:text-blue-800 underline"
+                >
+                  create a GitHub issue
+                </a>
+                .
+              </p>
+            </div>
+          </AccordionBody>
+        </Accordion>
+
+        <div style={{ textAlign: "right", marginTop: "10px" }}>
+          <Button type="submit">Create Tag</Button>
+        </div>
+      </Form>
+    </Modal>
+  );
+};
+
+export default CreateTagModal;
+
diff --git a/ui/litellm-dashboard/src/components/tag_management/index.tsx b/ui/litellm-dashboard/src/components/tag_management/index.tsx
index 77df36b4a5..c8c4eab6f5 100644
--- a/ui/litellm-dashboard/src/components/tag_management/index.tsx
+++ b/ui/litellm-dashboard/src/components/tag_management/index.tsx
@@ -1,15 +1,13 @@
 import React, { useState, useEffect } from "react";
-import { Card, Icon, Button, Col, Text, Grid, TextInput } from "@tremor/react";
-import { InformationCircleIcon, RefreshIcon } from "@heroicons/react/outline";
-import { Modal, Form, Select as Select2, message, Tooltip, Input } from "antd";
-import { InfoCircleOutlined } from "@ant-design/icons";
-import NumericalInput from "../shared/numerical_input";
+import { Icon, Button, Col, Text, Grid } from "@tremor/react";
+import { RefreshIcon } from "@heroicons/react/outline";
 import TagInfoView from "./tag_info";
 import { modelInfoCall } from "../networking";
 import { tagCreateCall, tagListCall, tagDeleteCall } from "../networking";
 import { Tag } from "./types";
 import TagTable from "./TagTable";
 import NotificationsManager from "../molecules/notifications_manager";
+import CreateTagModal from "./components/CreateTagModal";
 
 interface ModelInfo {
   model_name: string;
@@ -35,7 +33,6 @@ const TagManagement: React.FC<TagProps> = ({ accessToken, userID, userRole }) =>
   const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);
   const [tagToDelete, setTagToDelete] = useState<string | null>(null);
   const [lastRefreshed, setLastRefreshed] = useState("");
-  const [form] = Form.useForm();
   const [availableModels, setAvailableModels] = useState<ModelInfo[]>([]);
 
   const fetchTags = async () => {
@@ -63,10 +60,14 @@ const TagManagement: React.FC<TagProps> = ({ accessToken, userID, userRole }) =>
         name: formValues.tag_name,
         description: formValues.description,
         models: formValues.allowed_llms,
+        max_budget: formValues.max_budget,
+        soft_budget: formValues.soft_budget,
+        tpm_limit: formValues.tpm_limit,
+        rpm_limit: formValues.rpm_limit,
+        budget_duration: formValues.budget_duration,
       });
       NotificationsManager.success("Tag created successfully");
       setIsCreateModalVisible(false);
-      form.resetFields();
       fetchTags();
     } catch (error) {
       console.error("Error creating tag:", error);
@@ -174,63 +175,12 @@ const TagManagement: React.FC<TagProps> = ({ accessToken, userID, userRole }) =>
           </Grid>
 
           {/* Create Tag Modal */}
-          <Modal
-            title="Create New Tag"
+          <CreateTagModal
             visible={isCreateModalVisible}
-            width={800}
-            footer={null}
-            onCancel={() => {
-              setIsCreateModalVisible(false);
-              form.resetFields();
-            }}
-          >
-            <Form
-              form={form}
-              onFinish={handleCreate}
-              labelCol={{ span: 8 }}
-              wrapperCol={{ span: 16 }}
-              labelAlign="left"
-            >
-              <Form.Item
-                label="Tag Name"
-                name="tag_name"
-                rules={[{ required: true, message: "Please input a tag name" }]}
-              >
-                <TextInput />
-              </Form.Item>
-
-              <Form.Item label="Description" name="description">
-                <Input.TextArea rows={4} />
-              </Form.Item>
-
-              <Form.Item
-                label={
-                  <span>
-                    Allowed Models{" "}
-                    <Tooltip title="Select which LLMs are allowed to process requests from this tag">
-                      <InfoCircleOutlined style={{ marginLeft: "4px" }} />
-                    </Tooltip>
-                  </span>
-                }
-                name="allowed_llms"
-              >
-                <Select2 mode="multiple" placeholder="Select LLMs">
-                  {availableModels.map((model) => (
-                    <Select2.Option key={model.model_info.id} value={model.model_info.id}>
-                      <div>
-                        <span>{model.model_name}</span>
-                        <span className="text-gray-400 ml-2">({model.model_info.id})</span>
-                      </div>
-                    </Select2.Option>
-                  ))}
-                </Select2>
-              </Form.Item>
-
-              <div style={{ textAlign: "right", marginTop: "10px" }}>
-                <Button type="submit">Create Tag</Button>
-              </div>
-            </Form>
-          </Modal>
+            onCancel={() => setIsCreateModalVisible(false)}
+            onSubmit={handleCreate}
+            availableModels={availableModels}
+          />
 
           {/* Delete Confirmation Modal */}
           {isDeleteModalOpen && (
diff --git a/ui/litellm-dashboard/src/components/tag_management/tag_info.tsx b/ui/litellm-dashboard/src/components/tag_management/tag_info.tsx
index d89e14bdc6..60cde134e6 100644
--- a/ui/litellm-dashboard/src/components/tag_management/tag_info.tsx
+++ b/ui/litellm-dashboard/src/components/tag_management/tag_info.tsx
@@ -1,12 +1,17 @@
 import React, { useState, useEffect } from "react";
-import { Card, Text, Title, Button, Badge } from "@tremor/react";
-import { Form, Input, Select as Select2, message, Tooltip } from "antd";
+import { Card, Text, Title, Button, Badge, Accordion, AccordionHeader, AccordionBody, Title as TremorTitle } from "@tremor/react";
+import { Form, Input, Select as Select2, Tooltip } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { fetchUserModels } from "../organisms/create_key_button";
 import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key";
 import { tagInfoCall, tagUpdateCall } from "../networking";
-import { Tag, TagInfoResponse } from "./types";
+import { Tag } from "./types";
 import NotificationsManager from "../molecules/notifications_manager";
+import NumericalInput from "../shared/numerical_input";
+import BudgetDurationDropdown from "../common_components/budget_duration_dropdown";
+import { copyToClipboard as utilCopyToClipboard } from "@/utils/dataUtils";
+import { CheckIcon, CopyIcon } from "lucide-react";
+import { Button as AntdButton } from "antd";
 
 interface TagInfoViewProps {
   tagId: string;
@@ -21,6 +26,17 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
   const [tagDetails, setTagDetails] = useState<Tag | null>(null);
   const [isEditing, setIsEditing] = useState<boolean>(editTag);
   const [userModels, setUserModels] = useState<string[]>([]);
+  const [copiedStates, setCopiedStates] = useState<Record<string, boolean>>({});
+
+  const copyToClipboard = async (text: string | null | undefined, key: string) => {
+    const success = await utilCopyToClipboard(text);
+    if (success) {
+      setCopiedStates((prev) => ({ ...prev, [key]: true }));
+      setTimeout(() => {
+        setCopiedStates((prev) => ({ ...prev, [key]: false }));
+      }, 2000);
+    }
+  };
 
   const fetchTagDetails = async () => {
     if (!accessToken) return;
@@ -34,6 +50,8 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
             name: tagData.name,
             description: tagData.description,
             models: tagData.models,
+            max_budget: tagData.litellm_budget_table?.max_budget,
+            budget_duration: tagData.litellm_budget_table?.budget_duration,
           });
         }
       }
@@ -62,6 +80,10 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
         name: values.name,
         description: values.description,
         models: values.models,
+        max_budget: values.max_budget,
+        tpm_limit: values.tpm_limit,
+        rpm_limit: values.rpm_limit,
+        budget_duration: values.budget_duration,
       });
       NotificationsManager.success("Tag updated successfully");
       setIsEditing(false);
@@ -83,7 +105,23 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
           <Button onClick={onClose} className="mb-4">
             ← Back to Tags
           </Button>
-          <Title>Tag Name: {tagDetails.name}</Title>
+          <div className="flex items-center gap-2">
+            <Text className="font-medium">Tag Name:</Text>
+            <span className="font-mono px-2 py-1 bg-gray-100 rounded text-sm border border-gray-200">
+              {tagDetails.name}
+            </span>
+            <AntdButton
+              type="text"
+              size="small"
+              icon={copiedStates["tag-name"] ? <CheckIcon size={12} /> : <CopyIcon size={12} />}
+              onClick={() => copyToClipboard(tagDetails.name, "tag-name")}
+              className={`transition-all duration-200 ${
+                copiedStates["tag-name"]
+                  ? "text-green-600 bg-green-50 border-green-200"
+                  : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
+              }`}
+            />
+          </div>
           <Text className="text-gray-500">{tagDetails.description || "No description"}</Text>
         </div>
         {is_admin && !isEditing && <Button onClick={() => setIsEditing(true)}>Edit Tag</Button>}
@@ -120,6 +158,56 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
               </Select2>
             </Form.Item>
 
+            <Accordion className="mt-4 mb-4">
+              <AccordionHeader>
+                <TremorTitle className="m-0">Budget & Rate Limits</TremorTitle>
+              </AccordionHeader>
+              <AccordionBody>
+                <Form.Item
+                  label={
+                    <span>
+                      Max Budget (USD){" "}
+                      <Tooltip title="Maximum amount in USD this tag can spend">
+                        <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                      </Tooltip>
+                    </span>
+                  }
+                  name="max_budget"
+                >
+                  <NumericalInput step={0.01} precision={2} width={200} />
+                </Form.Item>
+
+                <Form.Item
+                  label={
+                    <span>
+                      Reset Budget{" "}
+                      <Tooltip title="How often the budget should reset">
+                        <InfoCircleOutlined style={{ marginLeft: "4px" }} />
+                      </Tooltip>
+                    </span>
+                  }
+                  name="budget_duration"
+                >
+                  <BudgetDurationDropdown onChange={(value) => form.setFieldValue("budget_duration", value)} />
+                </Form.Item>
+
+                <div className="mt-4 p-3 bg-gray-50 rounded-md border border-gray-200">
+                  <p className="text-sm text-gray-600">
+                    TPM/RPM limits for tags are not currently supported. If you need this feature, please{" "}
+                    <a
+                      href="https://github.com/BerriAI/litellm/issues/new"
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="text-blue-600 hover:text-blue-800 underline"
+                    >
+                      create a GitHub issue
+                    </a>
+                    .
+                  </p>
+                </div>
+              </AccordionBody>
+            </Accordion>
+
             <div className="flex justify-end space-x-2">
               <Button onClick={() => setIsEditing(false)}>Cancel</Button>
               <Button type="submit">Save Changes</Button>
@@ -142,7 +230,7 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
               <div>
                 <Text className="font-medium">Allowed LLMs</Text>
                 <div className="flex flex-wrap gap-2 mt-2">
-                  {tagDetails.models.length === 0 ? (
+                  {!tagDetails.models || tagDetails.models.length === 0 ? (
                     <Badge color="red">All Models</Badge>
                   ) : (
                     tagDetails.models.map((modelId) => (
@@ -163,6 +251,38 @@ const TagInfoView: React.FC<TagInfoViewProps> = ({ tagId, onClose, accessToken,
               </div>
             </div>
           </Card>
+
+          {tagDetails.litellm_budget_table && (
+            <Card>
+              <Title>Budget & Rate Limits</Title>
+              <div className="space-y-4 mt-4">
+                {tagDetails.litellm_budget_table.max_budget !== undefined && tagDetails.litellm_budget_table.max_budget !== null && (
+                  <div>
+                    <Text className="font-medium">Max Budget</Text>
+                    <Text>${tagDetails.litellm_budget_table.max_budget}</Text>
+                  </div>
+                )}
+                {tagDetails.litellm_budget_table.budget_duration && (
+                  <div>
+                    <Text className="font-medium">Budget Duration</Text>
+                    <Text>{tagDetails.litellm_budget_table.budget_duration}</Text>
+                  </div>
+                )}
+                {tagDetails.litellm_budget_table.tpm_limit !== undefined && tagDetails.litellm_budget_table.tpm_limit !== null && (
+                  <div>
+                    <Text className="font-medium">TPM Limit</Text>
+                    <Text>{tagDetails.litellm_budget_table.tpm_limit.toLocaleString()}</Text>
+                  </div>
+                )}
+                {tagDetails.litellm_budget_table.rpm_limit !== undefined && tagDetails.litellm_budget_table.rpm_limit !== null && (
+                  <div>
+                    <Text className="font-medium">RPM Limit</Text>
+                    <Text>{tagDetails.litellm_budget_table.rpm_limit.toLocaleString()}</Text>
+                  </div>
+                )}
+              </div>
+            </Card>
+          )}
         </div>
       )}
     </div>
diff --git a/ui/litellm-dashboard/src/components/tag_management/types.tsx b/ui/litellm-dashboard/src/components/tag_management/types.tsx
index 254be890e8..3cf17545fd 100644
--- a/ui/litellm-dashboard/src/components/tag_management/types.tsx
+++ b/ui/litellm-dashboard/src/components/tag_management/types.tsx
@@ -7,6 +7,15 @@ export interface Tag {
   updated_at: string;
   created_by?: string;
   updated_by?: string;
+  litellm_budget_table?: {
+    max_budget?: number;
+    soft_budget?: number;
+    tpm_limit?: number;
+    rpm_limit?: number;
+    max_parallel_requests?: number;
+    budget_duration?: string;
+    model_max_budget?: any;
+  };
 }
 
 export interface TagInfoRequest {
@@ -17,12 +26,22 @@ export interface TagNewRequest {
   name: string;
   description?: string;
   models: string[];
+  max_budget?: number;
+  soft_budget?: number;
+  tpm_limit?: number;
+  rpm_limit?: number;
+  budget_duration?: string;
 }
 
 export interface TagUpdateRequest {
   name: string;
   description?: string;
   models: string[];
+  max_budget?: number;
+  soft_budget?: number;
+  tpm_limit?: number;
+  rpm_limit?: number;
+  budget_duration?: string;
 }
 
 export interface TagDeleteRequest {
diff --git a/ui/litellm-dashboard/src/components/team/LoggingSettings.tsx b/ui/litellm-dashboard/src/components/team/LoggingSettings.tsx
index 417955f8d6..56d2e23a90 100644
--- a/ui/litellm-dashboard/src/components/team/LoggingSettings.tsx
+++ b/ui/litellm-dashboard/src/components/team/LoggingSettings.tsx
@@ -1,11 +1,11 @@
 /* eslint-disable @next/next/no-img-element */
 /* eslint-disable react/no-unescaped-entities */
-import React, { useState } from "react";
-import { Form, Select, Space, Tooltip, Divider } from "antd";
+import React from "react";
+import { Select, Tooltip, Divider } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { Button, Card, TextInput } from "@tremor/react";
 import { PlusIcon, TrashIcon, CogIcon, BanIcon } from "@heroicons/react/outline";
-import { callbackInfo, Callbacks, callback_map, mapDisplayToInternalNames } from "../callback_info_helpers";
+import { callbackInfo, callback_map, mapDisplayToInternalNames } from "../callback_info_helpers";
 import NumericalInput from "../shared/numerical_input";
 
 const { Option } = Select;
diff --git a/ui/litellm-dashboard/src/components/team/available_teams.tsx b/ui/litellm-dashboard/src/components/team/available_teams.tsx
index d4305ddf97..d4a172e8d0 100644
--- a/ui/litellm-dashboard/src/components/team/available_teams.tsx
+++ b/ui/litellm-dashboard/src/components/team/available_teams.tsx
@@ -11,7 +11,6 @@ import {
   Text,
   Badge,
 } from "@tremor/react";
-import { message } from "antd";
 import { availableTeamListCall, teamMemberAddCall } from "../networking";
 import NotificationsManager from "../molecules/notifications_manager";
 
diff --git a/ui/litellm-dashboard/src/components/team/edit_membership.tsx b/ui/litellm-dashboard/src/components/team/edit_membership.tsx
index 9c8836541f..93142599ac 100644
--- a/ui/litellm-dashboard/src/components/team/edit_membership.tsx
+++ b/ui/litellm-dashboard/src/components/team/edit_membership.tsx
@@ -1,8 +1,7 @@
-import React, { useState, useEffect } from "react";
-import { Modal, Form, Button as AntButton, message } from "antd";
+import React, { useEffect } from "react";
+import { Modal, Form, Button as AntButton } from "antd";
 import { Select, SelectItem, TextInput } from "@tremor/react";
-import { Card, Text } from "@tremor/react";
-import NotificationsManager from "../molecules/notifications_manager";
+import { Text } from "@tremor/react";
 import NumericalInput from "../shared/numerical_input";
 
 interface BaseMember {
diff --git a/ui/litellm-dashboard/src/components/team/member_permissions.tsx b/ui/litellm-dashboard/src/components/team/member_permissions.tsx
index 4c2d423c5f..6a7ab541dd 100644
--- a/ui/litellm-dashboard/src/components/team/member_permissions.tsx
+++ b/ui/litellm-dashboard/src/components/team/member_permissions.tsx
@@ -11,7 +11,7 @@ import {
   TableRow,
   TableCell,
 } from "@tremor/react";
-import { Button, message, Checkbox, Empty } from "antd";
+import { Button, Checkbox, Empty } from "antd";
 import { ReloadOutlined, SaveOutlined } from "@ant-design/icons";
 import { getTeamPermissionsCall, teamPermissionsUpdateCall } from "@/components/networking";
 import { getPermissionInfo } from "./permission_definitions";
diff --git a/ui/litellm-dashboard/src/components/team/team_info.tsx b/ui/litellm-dashboard/src/components/team/team_info.tsx
index 49bc8249a3..3d0e7de668 100644
--- a/ui/litellm-dashboard/src/components/team/team_info.tsx
+++ b/ui/litellm-dashboard/src/components/team/team_info.tsx
@@ -12,13 +12,6 @@ import {
   Grid,
   Badge,
   Button as TremorButton,
-  TableRow,
-  TableCell,
-  TableHead,
-  TableHeaderCell,
-  TableBody,
-  Table,
-  Icon,
   TextInput,
 } from "@tremor/react";
 import TeamMembersComponent from "./team_member_view";
@@ -34,12 +27,10 @@ import {
 } from "@/components/networking";
 import { Button, Form, Input, Select, message, Tooltip } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
-import { Select as Select2 } from "antd";
-import { ArrowLeftIcon, PencilAltIcon, PlusIcon, TrashIcon } from "@heroicons/react/outline";
+import { ArrowLeftIcon } from "@heroicons/react/outline";
 import MemberModal from "./edit_membership";
 import UserSearchModal from "@/components/common_components/user_search_modal";
 import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key";
-import { isAdminRole } from "@/utils/roles";
 import ObjectPermissionsView from "../object_permissions_view";
 import VectorStoreSelector from "../vector_store_management/VectorStoreSelector";
 import MCPServerSelector from "../mcp_server_management/MCPServerSelector";
@@ -351,8 +342,12 @@ const TeamInfoView: React.FC<TeamInfoProps> = ({
         accessGroups: [],
       };
       const mcpToolPermissions = values.mcp_tool_permissions || {};
-      
-      if ((servers && servers.length > 0) || (accessGroups && accessGroups.length > 0) || Object.keys(mcpToolPermissions).length > 0) {
+
+      if (
+        (servers && servers.length > 0) ||
+        (accessGroups && accessGroups.length > 0) ||
+        Object.keys(mcpToolPermissions).length > 0
+      ) {
         updateData.object_permission = {};
         if (servers && servers.length > 0) {
           updateData.object_permission.mcp_servers = servers;
@@ -686,9 +681,9 @@ const TeamInfoView: React.FC<TeamInfoProps> = ({
                     <Input type="hidden" />
                   </Form.Item>
 
-                  <Form.Item 
+                  <Form.Item
                     noStyle
-                    shouldUpdate={(prevValues, currentValues) => 
+                    shouldUpdate={(prevValues, currentValues) =>
                       prevValues.mcp_servers_and_groups !== currentValues.mcp_servers_and_groups ||
                       prevValues.mcp_tool_permissions !== currentValues.mcp_tool_permissions
                     }
diff --git a/ui/litellm-dashboard/src/components/team/team_member_view.tsx b/ui/litellm-dashboard/src/components/team/team_member_view.tsx
index d39f49d274..c9f97ee148 100644
--- a/ui/litellm-dashboard/src/components/team/team_member_view.tsx
+++ b/ui/litellm-dashboard/src/components/team/team_member_view.tsx
@@ -15,7 +15,7 @@ import {
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { Tooltip } from "antd";
 import { TeamData } from "./team_info";
-import { PencilAltIcon, PlusIcon, TrashIcon } from "@heroicons/react/outline";
+import { PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
 
 interface TeamMembersComponentProps {
diff --git a/ui/litellm-dashboard/src/components/teams.tsx b/ui/litellm-dashboard/src/components/teams.tsx
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/ui/litellm-dashboard/src/components/templates/KeyInfoView.handleKeyUpdate.test.tsx b/ui/litellm-dashboard/src/components/templates/KeyInfoView.handleKeyUpdate.test.tsx
index cb780ce6cb..4b5ed6ae2f 100644
--- a/ui/litellm-dashboard/src/components/templates/KeyInfoView.handleKeyUpdate.test.tsx
+++ b/ui/litellm-dashboard/src/components/templates/KeyInfoView.handleKeyUpdate.test.tsx
@@ -1,4 +1,3 @@
-// KeyInfoView.premium-guard.test.tsx
 import React from "react";
 import { describe, it, expect, beforeEach, vi } from "vitest";
 import { render, screen, fireEvent, waitFor } from "@testing-library/react";
diff --git a/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx b/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx
index b24075f3a4..4dfedf9bf2 100644
--- a/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx
+++ b/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx
@@ -11,7 +11,7 @@ import MCPToolPermissions from "../mcp_server_management/MCPToolPermissions";
 import EditLoggingSettings from "../team/EditLoggingSettings";
 import { extractLoggingSettings, formatMetadataForDisplay } from "../key_info_utils";
 import { fetchMCPAccessGroups } from "../networking";
-import { mapInternalToDisplayNames, mapDisplayToInternalNames } from "../callback_info_helpers";
+import { mapInternalToDisplayNames } from "../callback_info_helpers";
 import GuardrailSelector from "@/components/guardrails/GuardrailSelector";
 import KeyLifecycleSettings from "../common_components/KeyLifecycleSettings";
 import RateLimitTypeFormItem from "../common_components/RateLimitTypeFormItem";
@@ -299,9 +299,9 @@ export function KeyEditView({
         <Input type="hidden" />
       </Form.Item>
 
-      <Form.Item 
+      <Form.Item
         noStyle
-        shouldUpdate={(prevValues, currentValues) => 
+        shouldUpdate={(prevValues, currentValues) =>
           prevValues.mcp_servers_and_groups !== currentValues.mcp_servers_and_groups ||
           prevValues.mcp_tool_permissions !== currentValues.mcp_tool_permissions
         }
diff --git a/ui/litellm-dashboard/src/components/templates/key_info_view.tsx b/ui/litellm-dashboard/src/components/templates/key_info_view.tsx
index e6ae7e6639..46dcae1723 100644
--- a/ui/litellm-dashboard/src/components/templates/key_info_view.tsx
+++ b/ui/litellm-dashboard/src/components/templates/key_info_view.tsx
@@ -1,24 +1,9 @@
 import React, { useEffect, useState } from "react";
-import {
-  Card,
-  Text,
-  Button,
-  Grid,
-  Col,
-  Tab,
-  TabList,
-  TabGroup,
-  TabPanel,
-  TabPanels,
-  Title,
-  Badge,
-  TextInput,
-  Select as TremorSelect,
-} from "@tremor/react";
+import { Card, Text, Button, Grid, Tab, TabList, TabGroup, TabPanel, TabPanels, Title, Badge } from "@tremor/react";
 import { ArrowLeftIcon, TrashIcon, RefreshIcon } from "@heroicons/react/outline";
 import { keyDeleteCall, keyUpdateCall } from "../networking";
 import { KeyResponse } from "../key_team_helpers/key_list";
-import { Form, Input, InputNumber, Select, Tooltip, Button as AntdButton } from "antd";
+import { Form, Tooltip, Button as AntdButton } from "antd";
 import NotificationManager from "../molecules/notifications_manager";
 import { KeyEditView } from "./key_edit_view";
 import { RegenerateKeyModal } from "../organisms/regenerate_key_modal";
@@ -28,7 +13,7 @@ import LoggingSettingsView from "../logging_settings_view";
 import { copyToClipboard as utilCopyToClipboard, formatNumberWithCommas } from "@/utils/dataUtils";
 import { extractLoggingSettings, formatMetadataForDisplay } from "../key_info_utils";
 import { CopyIcon, CheckIcon } from "lucide-react";
-import { callback_map, mapInternalToDisplayNames, mapDisplayToInternalNames } from "../callback_info_helpers";
+import { mapInternalToDisplayNames, mapDisplayToInternalNames } from "../callback_info_helpers";
 import { parseErrorMessage } from "../shared/errorUtils";
 import AutoRotationView from "../common_components/AutoRotationView";
 
diff --git a/ui/litellm-dashboard/src/components/templates/model_dashboard.tsx b/ui/litellm-dashboard/src/components/templates/model_dashboard.tsx
index 005ccce66f..d13786113e 100644
--- a/ui/litellm-dashboard/src/components/templates/model_dashboard.tsx
+++ b/ui/litellm-dashboard/src/components/templates/model_dashboard.tsx
@@ -12,8 +12,6 @@ import {
   Text,
   Grid,
   Col,
-  DateRangePicker,
-  TextInput,
 } from "@tremor/react";
 import { CredentialItem, credentialListCall, CredentialsResponse } from "../networking";
 
@@ -26,7 +24,6 @@ import { Select, SelectItem, DateRangePickerValue } from "@tremor/react";
 import UsageDatePicker from "../shared/usage_date_picker";
 import {
   modelInfoCall,
-  Model,
   modelCostMap,
   healthCheckCall,
   modelMetricsCall,
@@ -41,7 +38,7 @@ import {
   allEndUsersCall,
 } from "../networking";
 import { BarChart, AreaChart } from "@tremor/react";
-import { Popover, Form, InputNumber, message } from "antd";
+import { Popover, Form, InputNumber } from "antd";
 import { Button } from "@tremor/react";
 import { Typography } from "antd";
 import { RefreshIcon, FilterIcon } from "@heroicons/react/outline";
@@ -112,7 +109,7 @@ const retry_policy_map: Record<string, string> = {
   "InternalServerError (500)": "InternalServerErrorRetries",
 };
 
-const ModelDashboard: React.FC<ModelDashboardProps> = ({
+const OldModelDashboard: React.FC<ModelDashboardProps> = ({
   accessToken,
   token,
   userRole,
@@ -1757,4 +1754,4 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
   );
 };
 
-export default ModelDashboard;
+export default OldModelDashboard;
diff --git a/ui/litellm-dashboard/src/components/templates/view_key_table.tsx b/ui/litellm-dashboard/src/components/templates/view_key_table.tsx
index 86903d5553..1c193dad11 100644
--- a/ui/litellm-dashboard/src/components/templates/view_key_table.tsx
+++ b/ui/litellm-dashboard/src/components/templates/view_key_table.tsx
@@ -1,64 +1,12 @@
 "use client";
-import React, { useEffect, useState, useMemo } from "react";
-import { keyDeleteCall, modelAvailableCall, getGuardrailsList, Organization } from "../networking";
+import React, { useEffect, useState } from "react";
+import { keyDeleteCall, Organization } from "../networking";
 import { add } from "date-fns";
-import {
-  InformationCircleIcon,
-  StatusOnlineIcon,
-  TrashIcon,
-  PencilAltIcon,
-  RefreshIcon,
-} from "@heroicons/react/outline";
-import {
-  keySpendLogsCall,
-  PredictedSpendLogsCall,
-  keyUpdateCall,
-  modelInfoCall,
-  regenerateKeyCall,
-} from "../networking";
-import {
-  Badge,
-  Card,
-  Table,
-  Grid,
-  Col,
-  Button,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeaderCell,
-  TableRow,
-  Dialog,
-  DialogPanel,
-  Text,
-  Title,
-  Subtitle,
-  Icon,
-  BarChart,
-  TextInput,
-  Textarea,
-  Select,
-  SelectItem,
-} from "@tremor/react";
-import { InfoCircleOutlined } from "@ant-design/icons";
-import {
-  fetchAvailableModelsForTeamOrKey,
-  getModelDisplayName,
-} from "../key_team_helpers/fetch_available_models_team_key";
-import { MultiSelect, MultiSelectItem } from "@tremor/react";
-import {
-  Button as Button2,
-  Modal,
-  Form,
-  Input,
-  Select as Select2,
-  InputNumber,
-  message,
-  Tooltip,
-  DatePicker,
-} from "antd";
+import { regenerateKeyCall } from "../networking";
+import { Grid, Col, Button, Text, Title, TextInput } from "@tremor/react";
+import { fetchAvailableModelsForTeamOrKey } from "../key_team_helpers/fetch_available_models_team_key";
+import { Modal, Form, InputNumber } from "antd";
 import { CopyToClipboard } from "react-copy-to-clipboard";
-import TextArea from "antd/es/input/TextArea";
 import useKeyList from "../key_team_helpers/key_list";
 import { KeyResponse } from "../key_team_helpers/key_list";
 import { AllKeysTable } from "../all_keys_table";
diff --git a/ui/litellm-dashboard/src/components/transform_request.tsx b/ui/litellm-dashboard/src/components/transform_request.tsx
index 39d719fde4..cc68972d00 100644
--- a/ui/litellm-dashboard/src/components/transform_request.tsx
+++ b/ui/litellm-dashboard/src/components/transform_request.tsx
@@ -1,5 +1,5 @@
 import React, { useState } from "react";
-import { Button, Select, Tabs, message } from "antd";
+import { Button } from "antd";
 import { CopyOutlined } from "@ant-design/icons";
 import { Title } from "@tremor/react";
 import { transformRequestCall } from "./networking";
diff --git a/ui/litellm-dashboard/src/components/ui_theme_settings.tsx b/ui/litellm-dashboard/src/components/ui_theme_settings.tsx
index 1dae132aeb..83c5cbb5c1 100644
--- a/ui/litellm-dashboard/src/components/ui_theme_settings.tsx
+++ b/ui/litellm-dashboard/src/components/ui_theme_settings.tsx
@@ -1,6 +1,5 @@
 import React, { useState, useEffect } from "react";
 import { Card, Title, Text, TextInput, Button } from "@tremor/react";
-import { message } from "antd";
 import { useTheme } from "@/contexts/ThemeContext";
 import { getProxyBaseUrl } from "@/components/networking";
 import NotificationsManager from "./molecules/notifications_manager";
diff --git a/ui/litellm-dashboard/src/components/usage.tsx b/ui/litellm-dashboard/src/components/usage.tsx
index a1e27fff90..88b1e3c3fb 100644
--- a/ui/litellm-dashboard/src/components/usage.tsx
+++ b/ui/litellm-dashboard/src/components/usage.tsx
@@ -9,7 +9,6 @@ import {
   TableRow,
   TableCell,
   TableBody,
-  Metric,
   Subtitle,
 } from "@tremor/react";
 
@@ -22,7 +21,6 @@ import {
   Grid,
   Col,
   Text,
-  LineChart,
   TabPanel,
   TabPanels,
   TabGroup,
@@ -30,21 +28,15 @@ import {
   Tab,
   Select,
   SelectItem,
-  DateRangePicker,
   DateRangePickerValue,
   DonutChart,
   AreaChart,
-  Callout,
   Button,
   MultiSelect,
   MultiSelectItem,
 } from "@tremor/react";
 
-import { Select as Select2 } from "antd";
-
 import {
-  userSpendLogsCall,
-  keyInfoCall,
   adminSpendLogsCall,
   adminTopKeysCall,
   adminTopModelsCall,
@@ -52,14 +44,11 @@ import {
   teamSpendLogsCall,
   tagsSpendLogsCall,
   allTagNamesCall,
-  modelMetricsCall,
-  modelAvailableCall,
   adminspendByProvider,
   adminGlobalActivity,
   adminGlobalActivityPerModel,
   getProxyUISettings,
 } from "./networking";
-import { start } from "repl";
 import TopKeyView from "./top_key_view";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
 console.log("process.env.NODE_ENV", process.env.NODE_ENV);
diff --git a/ui/litellm-dashboard/src/components/useful_links_management.tsx b/ui/litellm-dashboard/src/components/useful_links_management.tsx
index 664a52ab5d..83f1c80788 100644
--- a/ui/litellm-dashboard/src/components/useful_links_management.tsx
+++ b/ui/litellm-dashboard/src/components/useful_links_management.tsx
@@ -1,5 +1,5 @@
 import React, { useState, useEffect } from "react";
-import { message, Modal } from "antd";
+import { Modal } from "antd";
 import { PlusCircleIcon, PencilIcon, TrashIcon, ChevronDownIcon, ChevronRightIcon } from "@heroicons/react/outline";
 import { isAdminRole } from "../utils/roles";
 import { getPublicModelHubInfo, updateUsefulLinksCall, getProxyBaseUrl } from "./networking";
diff --git a/ui/litellm-dashboard/src/components/user_agent_activity.tsx b/ui/litellm-dashboard/src/components/user_agent_activity.tsx
index 33371ef7d7..492c7fbcd8 100644
--- a/ui/litellm-dashboard/src/components/user_agent_activity.tsx
+++ b/ui/litellm-dashboard/src/components/user_agent_activity.tsx
@@ -4,18 +4,9 @@ import {
   Title,
   Text,
   Grid,
-  Col,
-  Table,
-  TableHead,
-  TableRow,
-  TableHeaderCell,
-  TableBody,
-  TableCell,
   BarChart,
-  DonutChart,
   Metric,
   Subtitle,
-  Button,
   Tab,
   TabGroup,
   TabList,
@@ -23,7 +14,6 @@ import {
   TabPanels,
 } from "@tremor/react";
 import { Select, Tooltip } from "antd";
-import { formatNumberWithCommas } from "@/utils/dataUtils";
 import { userAgentSummaryCall, tagDauCall, tagWauCall, tagMauCall, tagDistinctCall } from "./networking";
 import AdvancedDatePicker from "./shared/advanced_date_picker";
 import PerUserUsage from "./per_user_usage";
diff --git a/ui/litellm-dashboard/src/components/user_dashboard.tsx b/ui/litellm-dashboard/src/components/user_dashboard.tsx
index 4d98b37a8f..b00e354789 100644
--- a/ui/litellm-dashboard/src/components/user_dashboard.tsx
+++ b/ui/litellm-dashboard/src/components/user_dashboard.tsx
@@ -3,29 +3,21 @@ import React, { useState, useEffect } from "react";
 import {
   userInfoCall,
   modelAvailableCall,
-  getTotalSpendCall,
   getProxyUISettings,
   Organization,
-  organizationListCall,
-  DEFAULT_ORGANIZATION,
   keyInfoCall,
   getProxyBaseUrl,
 } from "./networking";
 import { fetchTeams } from "./common_components/fetch_teams";
-import { Grid, Col, Card, Text, Title } from "@tremor/react";
+import { Grid, Col } from "@tremor/react";
 import CreateKey from "./organisms/create_key_button";
 import ViewKeyTable from "./templates/view_key_table";
-import ViewUserSpend from "./view_user_spend";
-import ViewUserTeam from "./view_user_team";
-import DashboardTeam from "./dashboard_default_team";
 import Onboarding from "../app/onboarding/page";
-import { useSearchParams, useRouter } from "next/navigation";
+import { useSearchParams } from "next/navigation";
 import { KeyResponse, Team } from "./key_team_helpers/key_list";
 import { jwtDecode } from "jwt-decode";
 import { Typography } from "antd";
 import { clearTokenCookies } from "@/utils/cookieUtils";
-import { clearMCPAuthTokens } from "./mcp_tools/mcp_auth_storage";
-import { Setter } from "@/types";
 
 export interface ProxySettings {
   PROXY_BASE_URL: string | null;
@@ -67,7 +59,7 @@ interface UserDashboardProps {
 type TeamInterface = {
   models: any[];
   team_id: null;
-  team_alias: String;
+  team_alias: string;
 };
 
 const UserDashboard: React.FC<UserDashboardProps> = ({
diff --git a/ui/litellm-dashboard/src/components/user_edit_view.tsx b/ui/litellm-dashboard/src/components/user_edit_view.tsx
index 4c67f6ed94..845719355d 100644
--- a/ui/litellm-dashboard/src/components/user_edit_view.tsx
+++ b/ui/litellm-dashboard/src/components/user_edit_view.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Form, InputNumber, Select, Tooltip } from "antd";
+import { Form, Select, Tooltip } from "antd";
 import NumericalInput from "./shared/numerical_input";
 import { TextInput, Textarea, SelectItem } from "@tremor/react";
 import { Button } from "@tremor/react";
diff --git a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx
index 569a601538..d1cd3c5e44 100644
--- a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx
@@ -1,6 +1,6 @@
 import React, { useState } from "react";
-import { TextInput, Icon, Button as TremorButton, Text } from "@tremor/react";
-import { Modal, Form, Select, message, Tooltip, Input, Alert } from "antd";
+import { TextInput, Button as TremorButton } from "@tremor/react";
+import { Modal, Form, Select, Tooltip, Input, Alert } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { CredentialItem, vectorStoreCreateCall } from "../networking";
 import {
diff --git a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreSelector.tsx b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreSelector.tsx
index 3b47afecf3..ddb605542b 100644
--- a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreSelector.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreSelector.tsx
@@ -1,6 +1,5 @@
 import React, { useEffect, useState } from "react";
-import { Select, Typography, Tooltip } from "antd";
-import { InfoCircleOutlined } from "@ant-design/icons";
+import { Select } from "antd";
 import { VectorStore } from "./types";
 import { vectorStoreListCall } from "../networking";
 interface VectorStoreSelectorProps {
diff --git a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreTable.tsx b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreTable.tsx
index f0f6c30f5e..b54b5404fd 100644
--- a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreTable.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreTable.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Table, TableBody, TableCell, TableHead, TableHeaderCell, TableRow, Icon, Text, Badge } from "@tremor/react";
+import { Table, TableBody, TableCell, TableHead, TableHeaderCell, TableRow, Icon } from "@tremor/react";
 import { TrashIcon, PencilAltIcon, SwitchVerticalIcon, ChevronUpIcon, ChevronDownIcon } from "@heroicons/react/outline";
 import { Tooltip } from "antd";
 import {
diff --git a/ui/litellm-dashboard/src/components/vector_store_management/index.tsx b/ui/litellm-dashboard/src/components/vector_store_management/index.tsx
index 1ed6124a86..c8f6ed2d19 100644
--- a/ui/litellm-dashboard/src/components/vector_store_management/index.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_management/index.tsx
@@ -1,7 +1,6 @@
 import React, { useState, useEffect } from "react";
-import { Card, Icon, Button as TremorButton, Col, Text, Grid } from "@tremor/react";
-import { InformationCircleIcon, RefreshIcon } from "@heroicons/react/outline";
-import { message } from "antd";
+import { Icon, Button as TremorButton, Col, Text, Grid } from "@tremor/react";
+import { RefreshIcon } from "@heroicons/react/outline";
 import { vectorStoreListCall, vectorStoreDeleteCall, credentialListCall, CredentialItem } from "../networking";
 import { VectorStore } from "./types";
 import VectorStoreTable from "./VectorStoreTable";
diff --git a/ui/litellm-dashboard/src/components/vector_store_management/vector_store_info.tsx b/ui/litellm-dashboard/src/components/vector_store_management/vector_store_info.tsx
index c0feff5d18..92ed17715c 100644
--- a/ui/litellm-dashboard/src/components/vector_store_management/vector_store_info.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_management/vector_store_info.tsx
@@ -1,6 +1,6 @@
 import React, { useState, useEffect } from "react";
 import { Card, Text, Title, Button, Badge, TabGroup, TabList, Tab, TabPanels, TabPanel } from "@tremor/react";
-import { Form, Input, Select as Select2, message, Tooltip, Button as AntButton } from "antd";
+import { Form, Input, Select as Select2, Tooltip, Button as AntButton } from "antd";
 import { InfoCircleOutlined } from "@ant-design/icons";
 import { ArrowLeftIcon } from "@heroicons/react/outline";
 import { vectorStoreInfoCall, vectorStoreUpdateCall, credentialListCall, CredentialItem } from "../networking";
diff --git a/ui/litellm-dashboard/src/components/view_logs/RequestResponsePanel.tsx b/ui/litellm-dashboard/src/components/view_logs/RequestResponsePanel.tsx
index a14be39a87..d592712ba6 100644
--- a/ui/litellm-dashboard/src/components/view_logs/RequestResponsePanel.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/RequestResponsePanel.tsx
@@ -1,5 +1,4 @@
 import { LogEntry } from "./columns";
-import { message } from "antd";
 import NotificationsManager from "../molecules/notifications_manager";
 
 interface RequestResponsePanelProps {
diff --git a/ui/litellm-dashboard/src/components/view_logs/SessionView.tsx b/ui/litellm-dashboard/src/components/view_logs/SessionView.tsx
index 99747b47d0..ce77ad14a1 100644
--- a/ui/litellm-dashboard/src/components/view_logs/SessionView.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/SessionView.tsx
@@ -2,7 +2,7 @@ import React, { useState } from "react";
 import { LogEntry } from "./columns";
 import { DataTable } from "./table";
 import { columns } from "./columns";
-import { Card, Title, Text, Metric, AreaChart, Button as TremorButton } from "@tremor/react";
+import { Card, Title, Text, Metric, Button as TremorButton } from "@tremor/react";
 import { RequestViewer } from "./index";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
 import { ArrowLeftIcon } from "@heroicons/react/outline";
diff --git a/ui/litellm-dashboard/src/components/view_logs/columns.tsx b/ui/litellm-dashboard/src/components/view_logs/columns.tsx
index de510314a2..08e8aaa9b0 100644
--- a/ui/litellm-dashboard/src/components/view_logs/columns.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/columns.tsx
@@ -4,7 +4,6 @@ import { getProviderLogoAndName } from "../provider_info_helpers";
 import { Tooltip } from "antd";
 import { TimeCell } from "./time_cell";
 import { Button, Badge } from "@tremor/react";
-import { Eye, EyeOff } from "lucide-react";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
 
 // Helper to get the appropriate logo URL
diff --git a/ui/litellm-dashboard/src/components/view_logs/index.tsx b/ui/litellm-dashboard/src/components/view_logs/index.tsx
index 9d59111b62..bfc57a84f7 100644
--- a/ui/litellm-dashboard/src/components/view_logs/index.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/index.tsx
@@ -22,7 +22,7 @@ import FilterComponent from "../molecules/filter";
 import { FilterOption } from "../molecules/filter";
 import { useLogFilterLogic } from "./log_filter_logic";
 import { fetchAllKeyAliases } from "../key_team_helpers/filter_helpers";
-import { Tab, TabGroup, TabList, TabPanels, TabPanel, Text, Switch } from "@tremor/react";
+import { Tab, TabGroup, TabList, TabPanels, TabPanel, Switch } from "@tremor/react";
 import AuditLogs from "./audit_logs";
 import { getTimeRangeDisplay } from "./logs_utils";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
diff --git a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
index ac24c85a82..c46908d44d 100644
--- a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
@@ -1,6 +1,6 @@
 import moment from "moment";
 import { useCallback, useEffect, useState, useRef, useMemo } from "react";
-import { modelAvailableCall, uiSpendLogsCall } from "../networking";
+import { uiSpendLogsCall } from "../networking";
 import { Team } from "../key_team_helpers/key_list";
 import { useQuery } from "@tanstack/react-query";
 import { fetchAllKeyAliases, fetchAllTeams } from "../../components/key_team_helpers/filter_helpers";
diff --git a/ui/litellm-dashboard/src/components/view_user_spend.tsx b/ui/litellm-dashboard/src/components/view_user_spend.tsx
index 99bfba7d16..611b308e50 100644
--- a/ui/litellm-dashboard/src/components/view_user_spend.tsx
+++ b/ui/litellm-dashboard/src/components/view_user_spend.tsx
@@ -1,27 +1,6 @@
 "use client";
 import React, { useEffect, useState } from "react";
-import { keyDeleteCall, getTotalSpendCall } from "./networking";
-import { StatusOnlineIcon, TrashIcon } from "@heroicons/react/outline";
-import { Accordion, AccordionHeader, AccordionList, DonutChart } from "@tremor/react";
-import {
-  Badge,
-  Card,
-  Table,
-  Metric,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeaderCell,
-  TableRow,
-  Text,
-  Title,
-  Icon,
-  AccordionBody,
-  List,
-  ListItem,
-} from "@tremor/react";
-import { Statistic } from "antd";
-import { spendUsersCall, modelAvailableCall } from "./networking";
+import { modelAvailableCall } from "./networking";
 import { formatNumberWithCommas } from "@/utils/dataUtils";
 
 // Define the props type
diff --git a/ui/litellm-dashboard/src/components/view_user_team.tsx b/ui/litellm-dashboard/src/components/view_user_team.tsx
index 977ace05c0..cfc1daccb2 100644
--- a/ui/litellm-dashboard/src/components/view_user_team.tsx
+++ b/ui/litellm-dashboard/src/components/view_user_team.tsx
@@ -1,25 +1,5 @@
 "use client";
 import React, { useEffect, useState } from "react";
-import {
-  Badge,
-  Card,
-  Table,
-  Metric,
-  TableBody,
-  TableCell,
-  TableHead,
-  TableHeaderCell,
-  TableRow,
-  Text,
-  Title,
-  Icon,
-  Accordion,
-  AccordionBody,
-  AccordionHeader,
-  List,
-  ListItem,
-} from "@tremor/react";
-import { Statistic } from "antd";
 import { modelAvailableCall } from "./networking";
 
 interface ViewUserTeamProps {
diff --git a/ui/litellm-dashboard/src/components/view_users.tsx b/ui/litellm-dashboard/src/components/view_users.tsx
index 7fcb7f54b8..d0f17031ff 100644
--- a/ui/litellm-dashboard/src/components/view_users.tsx
+++ b/ui/litellm-dashboard/src/components/view_users.tsx
@@ -1,10 +1,7 @@
-import React, { useState, useEffect, useCallback, useRef } from "react";
-import { Tab, TabGroup, TabList, TabPanels, TabPanel, Select, SelectItem } from "@tremor/react";
-
-import { message } from "antd";
+import React, { useState, useEffect } from "react";
+import { Tab, TabGroup, TabList, TabPanels, TabPanel } from "@tremor/react";
 
 import {
-  userInfoCall,
   userUpdateUserCall,
   getPossibleUserRoles,
   userListCall,
@@ -24,14 +21,11 @@ import { columns } from "./view_users/columns";
 import { UserDataTable } from "./view_users/table";
 import { UserInfo } from "./view_users/types";
 import SSOSettings from "./SSOSettings";
-import debounce from "lodash/debounce";
 import { useQuery, useQueryClient } from "@tanstack/react-query";
 import { updateExistingKeys } from "@/utils/dataUtils";
 import { useDebouncedState } from "@tanstack/react-pacer/debouncer";
 import { isAdminRole } from "@/utils/roles";
 import NotificationsManager from "./molecules/notifications_manager";
-import { Setter } from "@/types";
-import { KeyResponse } from "@/components/key_team_helpers/key_list";
 
 interface ViewUserDashboardProps {
   accessToken: string | null;
@@ -40,7 +34,7 @@ interface ViewUserDashboardProps {
   userRole: string | null;
   userID: string | null;
   teams: any[] | null;
-  setKeys: React.Dispatch<React.SetStateAction<Object[] | null>>;
+  setKeys: React.Dispatch<React.SetStateAction<object[] | null>>;
 }
 
 interface FilterState {
diff --git a/ui/litellm-dashboard/src/components/view_users/table.tsx b/ui/litellm-dashboard/src/components/view_users/table.tsx
index ead53482a0..f1565f220e 100644
--- a/ui/litellm-dashboard/src/components/view_users/table.tsx
+++ b/ui/litellm-dashboard/src/components/view_users/table.tsx
@@ -1,4 +1,3 @@
-import { Fragment } from "react";
 import {
   ColumnDef,
   flexRender,
diff --git a/ui/litellm-dashboard/src/components/view_users/user_info_view.tsx b/ui/litellm-dashboard/src/components/view_users/user_info_view.tsx
index a263388c41..ab2c177707 100644
--- a/ui/litellm-dashboard/src/components/view_users/user_info_view.tsx
+++ b/ui/litellm-dashboard/src/components/view_users/user_info_view.tsx
@@ -1,18 +1,5 @@
 import React, { useState } from "react";
-import {
-  Card,
-  Text,
-  Button,
-  Grid,
-  Col,
-  Tab,
-  TabList,
-  TabGroup,
-  TabPanel,
-  TabPanels,
-  Title,
-  Badge,
-} from "@tremor/react";
+import { Card, Text, Button, Grid, Tab, TabList, TabGroup, TabPanel, TabPanels, Title, Badge } from "@tremor/react";
 import { ArrowLeftIcon, TrashIcon, RefreshIcon } from "@heroicons/react/outline";
 import {
   userInfoCall,
@@ -22,7 +9,7 @@ import {
   invitationCreateCall,
   getProxyBaseUrl,
 } from "../networking";
-import { message, Button as AntdButton } from "antd";
+import { Button as AntdButton } from "antd";
 import { rolesWithWriteAccess } from "../../utils/roles";
 import { UserEditView } from "../user_edit_view";
 import OnboardingModal, { InvitationLink } from "../onboarding_link";
diff --git a/ui/litellm-dashboard/src/utils/dataUtils.ts b/ui/litellm-dashboard/src/utils/dataUtils.ts
index fd5943d914..e93f548667 100644
--- a/ui/litellm-dashboard/src/utils/dataUtils.ts
+++ b/ui/litellm-dashboard/src/utils/dataUtils.ts
@@ -1,7 +1,6 @@
 import NotificationsManager from "@/components/molecules/notifications_manager";
-import { message } from "antd";
 
-export function updateExistingKeys<Source extends Object>(target: Source, source: Object): Source {
+export function updateExistingKeys<Source extends object>(target: Source, source: object): Source {
   const clonedTarget = structuredClone(target);
 
   for (const [key, value] of Object.entries(source)) {
@@ -13,14 +12,38 @@ export function updateExistingKeys<Source extends Object>(target: Source, source
   return clonedTarget;
 }
 
-export const formatNumberWithCommas = (value: number | null | undefined, decimals: number = 0): string => {
-  if (value === null || value === undefined) {
+export const formatNumberWithCommas = (
+  value: number | null | undefined,
+  decimals: number = 0,
+  abbreviate: boolean = false,
+): string => {
+  if (value === null || value === undefined || !Number.isFinite(value)) {
     return "-";
   }
-  return value.toLocaleString("en-US", {
+
+  const opts: Intl.NumberFormatOptions = {
     minimumFractionDigits: decimals,
     maximumFractionDigits: decimals,
-  });
+  };
+
+  if (!abbreviate) {
+    return value.toLocaleString("en-US", opts);
+  }
+
+  const sign = value < 0 ? "-" : "";
+  const abs = Math.abs(value);
+  let scaled = abs;
+  let suffix = "";
+
+  if (abs >= 1_000_000) {
+    scaled = abs / 1_000_000;
+    suffix = "M";
+  } else if (abs >= 1_000) {
+    scaled = abs / 1_000;
+    suffix = "K";
+  }
+
+  return `${sign}${scaled.toLocaleString("en-US", opts)}${suffix}`;
 };
 
 export const copyToClipboard = async (
diff --git a/ui/litellm-dashboard/tests/CreateKeyPage.expiredToken.test.tsx b/ui/litellm-dashboard/tests/CreateKeyPage.expiredToken.test.tsx
index e8d46355e0..9287e20318 100644
--- a/ui/litellm-dashboard/tests/CreateKeyPage.expiredToken.test.tsx
+++ b/ui/litellm-dashboard/tests/CreateKeyPage.expiredToken.test.tsx
@@ -130,7 +130,6 @@ vi.mock("@/lib/cva.config", () => ({
 }));
 
 import CreateKeyPage from "@/app/page";
-import { FeatureFlagsProvider } from "@/hooks/useFeatureFlags";
 
 /** ----------------------------
  * Helpers